diff --git a/.gitattributes b/.gitattributes index 53d7257..21b3632 100644 --- a/.gitattributes +++ b/.gitattributes @@ -44,4 +44,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.tar filter=lfs diff=lfs merge=lfs -text *.wasm filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text -*tfevents* filter=lfs diff=lfs merge=lfs -text \ No newline at end of file +*tfevents* filter=lfs diff=lfs merge=lfs -text + +tokenizer.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..d42fae9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2023 DeepSeek + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/README.md b/README.md index f556eca..d714f25 100644 --- a/README.md +++ b/README.md @@ -1,47 +1,10 @@ --- -license: Apache License 2.0 - -#model-type: -##如 gpt、phi、llama、chatglm、baichuan 等 -#- gpt - -#domain: -##如 nlp、cv、audio、multi-modal -#- nlp - -#language: -##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa -#- cn - -#metrics: -##如 CIDEr、Blue、ROUGE 等 -#- CIDEr - -#tags: -##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他 -#- pretrained - -#tools: -##如 vllm、fastchat、llamacpp、AdaSeq 等 -#- vllm ---- -### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。 -#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型 - -SDK下载 -```bash -#安装ModelScope -pip install modelscope -``` -```python -#SDK模型下载 -from modelscope import snapshot_download -model_dir = snapshot_download('unsloth/DeepSeek-V3.1-Base') -``` -Git下载 -``` -#Git模型下载 -git clone https://www.modelscope.cn/unsloth/DeepSeek-V3.1-Base.git -``` - -

如果您是本模型的贡献者，我们邀请您根据模型贡献文档，及时完善模型卡片内容。

\ No newline at end of file +base_model: +- deepseek-ai/DeepSeek-V3.1-Base +license: mit +tags: +- deepseek +- unsloth +pipeline_tag: text-generation +library_name: transformers +--- \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..e565619 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,3 @@ +{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% if not thinking is defined %}{% set thinking = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, system_prompt='', is_first_sp=true, is_last_user=false) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + ' + +' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{ bos_token }}{{ ns.system_prompt }}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{%- set ns.is_first = false -%}{%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}{%- if ns.is_last_user %}{{'<｜Assistant｜>'}}{%- endif %}{%- set ns.is_last_user = false -%}{%- set ns.is_first = false %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls'] %}{%- if not ns.is_first %}{%- if message['content'] is none %}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- else %}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- set ns.is_first = true -%}{%- else %}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- endfor %}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}{%- if ns.is_last_user %}{{'<｜Assistant｜>'}}{%- if message['prefix'] is defined and message['prefix'] and thinking %}{{''}} {%- else %}{{''}}{%- endif %}{%- endif %}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{%- set content = message['content'] -%}{%- if '' in content %}{%- set content = content.split('', 1)[1] -%}{%- endif %}{{content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_last_user = false -%}{%- set ns.is_tool = true -%}{{'<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endfor -%}{%- if add_generation_prompt and ns.is_last_user and not ns.is_tool %}{{'<｜Assistant｜>'}}{%- if not thinking %}{{''}}{%- else %}{{''}}{%- endif %}{% endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..e7ca49f --- /dev/null +++ b/config.json @@ -0,0 +1,69 @@ +{ + "architectures": [ + "DeepseekV3ForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "auto_map": { + "AutoConfig": "configuration_deepseek.DeepseekV3Config", + "AutoModel": "modeling_deepseek.DeepseekV3Model", + "AutoModelForCausalLM": "modeling_deepseek.DeepseekV3ForCausalLM" + }, + "bos_token_id": 0, + "eos_token_id": 1, + "ep_size": 1, + "first_k_dense_replace": 3, + "hidden_act": "silu", + "hidden_size": 7168, + "initializer_range": 0.02, + "intermediate_size": 18432, + "kv_lora_rank": 512, + "max_position_embeddings": 163840, + "model_type": "deepseek_v3", + "moe_intermediate_size": 2048, + "moe_layer_freq": 1, + "n_group": 8, + "n_routed_experts": 256, + "n_shared_experts": 1, + "norm_topk_prob": true, + "num_attention_heads": 128, + "num_experts_per_tok": 8, + "num_hidden_layers": 61, + "num_key_value_heads": 128, + "num_nextn_predict_layers": 1, + "pad_token_id": 2, + "q_lora_rank": 1536, + "qk_nope_head_dim": 128, + "qk_rope_head_dim": 64, + "quantization_config": { + "activation_scheme": "dynamic", + "fmt": "e4m3", + "quant_method": "fp8", + "weight_block_size": [ + 128, + 128 + ] + }, + "rms_norm_eps": 1e-06, + "rope_scaling": { + "beta_fast": 32, + "beta_slow": 1, + "factor": 40, + "mscale": 1.0, + "mscale_all_dim": 1.0, + "original_max_position_embeddings": 4096, + "type": "yarn" + }, + "rope_theta": 10000, + "routed_scaling_factor": 2.5, + "scoring_func": "sigmoid", + "tie_word_embeddings": false, + "topk_group": 4, + "topk_method": "noaux_tc", + "torch_dtype": "bfloat16", + "transformers_version": "4.55.2", + "unsloth_fixed": true, + "use_cache": true, + "v_head_dim": 128, + "vocab_size": 129280 +} diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", "allow_remote": true} \ No newline at end of file diff --git a/configuration_deepseek.py b/configuration_deepseek.py new file mode 100644 index 0000000..f549f2b --- /dev/null +++ b/configuration_deepseek.py @@ -0,0 +1,199 @@ +from transformers.configuration_utils import PretrainedConfig +from transformers.utils import logging + +logger = logging.get_logger(__name__) + +DEEPSEEK_PRETRAINED_CONFIG_ARCHIVE_MAP = {} +class DeepseekV3Config(PretrainedConfig): + r""" + This is the configuration class to store the configuration of a [`DeepseekV3Model`]. It is used to instantiate an DeepSeek + model according to the specified arguments, defining the model architecture. Instantiating a configuration with the + defaults will yield a similar configuration to that of the DeepSeek-V3. + + Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the + documentation from [`PretrainedConfig`] for more information. + + + Args: + vocab_size (`int`, *optional*, defaults to 129280): + Vocabulary size of the Deep model. Defines the number of different tokens that can be represented by the + `inputs_ids` passed when calling [`DeepseekV3Model`] + hidden_size (`int`, *optional*, defaults to 4096): + Dimension of the hidden representations. + intermediate_size (`int`, *optional*, defaults to 11008): + Dimension of the MLP representations. + moe_intermediate_size (`int`, *optional*, defaults to 1407): + Dimension of the MoE representations. + num_hidden_layers (`int`, *optional*, defaults to 32): + Number of hidden layers in the Transformer decoder. + num_nextn_predict_layers (`int`, *optional*, defaults to 1): + Number of nextn predict layers in the DeepSeekV3 Model. + num_attention_heads (`int`, *optional*, defaults to 32): + Number of attention heads for each attention layer in the Transformer decoder. + n_shared_experts (`int`, *optional*, defaults to None): + Number of shared experts, None means dense model. + n_routed_experts (`int`, *optional*, defaults to None): + Number of routed experts, None means dense model. + routed_scaling_factor (`float`, *optional*, defaults to 1.0): + Scaling factor or routed experts. + topk_method (`str`, *optional*, defaults to `gready`): + Topk method used in routed gate. + n_group (`int`, *optional*, defaults to None): + Number of groups for routed experts. + topk_group (`int`, *optional*, defaults to None): + Number of selected groups for each token(for each token, ensuring the selected experts is only within `topk_group` groups). + num_experts_per_tok (`int`, *optional*, defaults to None): + Number of selected experts, None means dense model. + moe_layer_freq (`int`, *optional*, defaults to 1): + The frequency of the MoE layer: one expert layer for every `moe_layer_freq - 1` dense layers. + first_k_dense_replace (`int`, *optional*, defaults to 0): + Number of dense layers in shallow layers(embed->dense->dense->...->dense->moe->moe...->lm_head). + \--k dense layers--/ + norm_topk_prob (`bool`, *optional*, defaults to False): + Whether to normalize the weights of the routed experts. + scoring_func (`str`, *optional*, defaults to 'softmax'): + Method of computing expert weights. + aux_loss_alpha (`float`, *optional*, defaults to 0.001): + Auxiliary loss weight coefficient. + seq_aux = (`bool`, *optional*, defaults to True): + Whether to compute the auxiliary loss for each individual sample. + num_key_value_heads (`int`, *optional*): + This is the number of key_value heads that should be used to implement Grouped Query Attention. If + `num_key_value_heads=num_attention_heads`, the model will use Multi Head Attention (MHA), if + `num_key_value_heads=1 the model will use Multi Query Attention (MQA) otherwise GQA is used. When + converting a multi-head checkpoint to a GQA checkpoint, each group key and value head should be constructed + by meanpooling all the original heads within that group. For more details checkout [this + paper](https://arxiv.org/pdf/2305.13245.pdf). If it is not specified, will default to + `num_attention_heads`. + hidden_act (`str` or `function`, *optional*, defaults to `"silu"`): + The non-linear activation function (function or string) in the decoder. + max_position_embeddings (`int`, *optional*, defaults to 2048): + The maximum sequence length that this model might ever be used with. + initializer_range (`float`, *optional*, defaults to 0.02): + The standard deviation of the truncated_normal_initializer for initializing all weight matrices. + rms_norm_eps (`float`, *optional*, defaults to 1e-06): + The epsilon used by the rms normalization layers. + use_cache (`bool`, *optional*, defaults to `True`): + Whether or not the model should return the last key/values attentions (not used by all models). Only + relevant if `config.is_decoder=True`. + pad_token_id (`int`, *optional*): + Padding token id. + bos_token_id (`int`, *optional*, defaults to 1): + Beginning of stream token id. + eos_token_id (`int`, *optional*, defaults to 2): + End of stream token id. + tie_word_embeddings (`bool`, *optional*, defaults to `False`): + Whether to tie weight embeddings + rope_theta (`float`, *optional*, defaults to 10000.0): + The base period of the RoPE embeddings. + rope_scaling (`Dict`, *optional*): + Dictionary containing the scaling configuration for the RoPE embeddings. Currently supports two scaling + strategies: linear and dynamic. Their scaling factor must be a float greater than 1. The expected format is + `{"type": strategy name, "factor": scaling factor}`. When using this flag, don't update + `max_position_embeddings` to the expected new maximum. + attention_bias (`bool`, defaults to `False`, *optional*, defaults to `False`): + Whether to use a bias in the query, key, value and output projection layers during self-attention. + attention_dropout (`float`, *optional*, defaults to 0.0): + The dropout ratio for the attention probabilities. + + ```python + >>> from transformers import DeepseekV3Model, DeepseekV3Config + + >>> # Initializing a Deepseek-V3 style configuration + >>> configuration = DeepseekV3Config() + + >>> # Accessing the model configuration + >>> configuration = model.config + ```""" + + model_type = "deepseek_v3" + keys_to_ignore_at_inference = ["past_key_values"] + + def __init__( + self, + vocab_size=129280, + hidden_size=7168, + intermediate_size=18432, + moe_intermediate_size = 2048, + num_hidden_layers=61, + num_nextn_predict_layers=1, + num_attention_heads=128, + num_key_value_heads=128, + n_shared_experts = 1, + n_routed_experts = 256, + ep_size = 1, + routed_scaling_factor = 2.5, + kv_lora_rank = 512, + q_lora_rank = 1536, + qk_rope_head_dim = 64, + v_head_dim = 128, + qk_nope_head_dim = 128, + topk_method = 'noaux_tc', + n_group = 8, + topk_group = 4, + num_experts_per_tok = 8, + moe_layer_freq = 1, + first_k_dense_replace = 3, + norm_topk_prob = True, + scoring_func = 'sigmoid', + hidden_act="silu", + max_position_embeddings=4096, + initializer_range=0.02, + rms_norm_eps=1e-6, + use_cache=True, + pad_token_id=None, + bos_token_id=0, + eos_token_id=1, + tie_word_embeddings=False, + rope_theta=10000.0, + rope_scaling=None, + attention_bias=False, + attention_dropout=0.0, + **kwargs, + ): + self.vocab_size = vocab_size + self.max_position_embeddings = max_position_embeddings + self.hidden_size = hidden_size + self.intermediate_size = intermediate_size + self.moe_intermediate_size = moe_intermediate_size + self.num_hidden_layers = num_hidden_layers + self.num_nextn_predict_layers = num_nextn_predict_layers + self.num_attention_heads = num_attention_heads + self.n_shared_experts = n_shared_experts + self.n_routed_experts = n_routed_experts + self.ep_size = ep_size + self.routed_scaling_factor = routed_scaling_factor + self.kv_lora_rank = kv_lora_rank + self.q_lora_rank = q_lora_rank + self.qk_rope_head_dim = qk_rope_head_dim + self.v_head_dim = v_head_dim + self.qk_nope_head_dim = qk_nope_head_dim + self.topk_method = topk_method + self.n_group = n_group + self.topk_group = topk_group + self.num_experts_per_tok = num_experts_per_tok + self.moe_layer_freq = moe_layer_freq + self.first_k_dense_replace = first_k_dense_replace + self.norm_topk_prob = norm_topk_prob + self.scoring_func = scoring_func + # for backward compatibility + if num_key_value_heads is None: + num_key_value_heads = num_attention_heads + + self.num_key_value_heads = num_key_value_heads + self.hidden_act = hidden_act + self.initializer_range = initializer_range + self.rms_norm_eps = rms_norm_eps + self.use_cache = use_cache + self.rope_theta = rope_theta + self.rope_scaling = rope_scaling + self.attention_bias = attention_bias + self.attention_dropout = attention_dropout + + super().__init__( + pad_token_id=pad_token_id, + bos_token_id=bos_token_id, + eos_token_id=eos_token_id, + tie_word_embeddings=tie_word_embeddings, + **kwargs, + ) \ No newline at end of file diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..15c27a7 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 0, + "eos_token_id": 1, + "do_sample": true, + "temperature": 0.6, + "top_p": 0.95, + "transformers_version": "4.46.3" +} diff --git a/model-00001-of-000163.safetensors b/model-00001-of-000163.safetensors new file mode 100644 index 0000000..32b2efc --- /dev/null +++ b/model-00001-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2668b4d448e73199bff9a5b3a1a5f788bcbfa49b7f4b93e96e67bec00c545a57 +size 135 diff --git a/model-00002-of-000163.safetensors b/model-00002-of-000163.safetensors new file mode 100644 index 0000000..9a959a9 --- /dev/null +++ b/model-00002-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f58ffd56aa8cba99c0e95875c98ef0483c712865182f62846d3dff7fc83a7d41 +size 135 diff --git a/model-00003-of-000163.safetensors b/model-00003-of-000163.safetensors new file mode 100644 index 0000000..f4da3ba --- /dev/null +++ b/model-00003-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc791f38a19044e0736bb4d9054a54d7e9cef2300c5e016d0c68bebb1d348ff1 +size 135 diff --git a/model-00004-of-000163.safetensors b/model-00004-of-000163.safetensors new file mode 100644 index 0000000..660e8d2 --- /dev/null +++ b/model-00004-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ed432b78307315333608bf742abd27140a1aa81acd82a4e3571e4dcf21e8abc +size 135 diff --git a/model-00005-of-000163.safetensors b/model-00005-of-000163.safetensors new file mode 100644 index 0000000..4895402 --- /dev/null +++ b/model-00005-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2bf7355f7079a253371a4ed668bc81c280ad14844d3e432753bd7bcbcc96a7ea +size 135 diff --git a/model-00006-of-000163.safetensors b/model-00006-of-000163.safetensors new file mode 100644 index 0000000..5cec82d --- /dev/null +++ b/model-00006-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bb2ecb04bacc8b5c02d9c2cde350f7a7504cd985cfd7811de54f60ae5c67ffea +size 135 diff --git a/model-00007-of-000163.safetensors b/model-00007-of-000163.safetensors new file mode 100644 index 0000000..6dd0b6d --- /dev/null +++ b/model-00007-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:39a054e8c7dd397ea7b6e949e7dd910b3181d1e343c0b32bb1f5fd866decef55 +size 135 diff --git a/model-00008-of-000163.safetensors b/model-00008-of-000163.safetensors new file mode 100644 index 0000000..d5aae15 --- /dev/null +++ b/model-00008-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2a52475e56372ad21b584395f438574d4071960d6f36f44a6145d225e569dcb +size 135 diff --git a/model-00009-of-000163.safetensors b/model-00009-of-000163.safetensors new file mode 100644 index 0000000..3fdc3fc --- /dev/null +++ b/model-00009-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d7f7c6444a9799e7f4c9e55259abc7149dc9535b1cfa91b48694cf53f24d0ce +size 135 diff --git a/model-00010-of-000163.safetensors b/model-00010-of-000163.safetensors new file mode 100644 index 0000000..7752b49 --- /dev/null +++ b/model-00010-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2dbcf9e10ecedcf764ebf18944ded22ac4da332de8f4cb48ee2d1c08ce9e092b +size 135 diff --git a/model-00011-of-000163.safetensors b/model-00011-of-000163.safetensors new file mode 100644 index 0000000..612ca97 --- /dev/null +++ b/model-00011-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f58da1bacdd06ee92ec23431b5a328b4c96c6ad8e236e91140573675823acff9 +size 135 diff --git a/model-00012-of-000163.safetensors b/model-00012-of-000163.safetensors new file mode 100644 index 0000000..61a0237 --- /dev/null +++ b/model-00012-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bbd32497450fe9a60f20606c661ac05276d9084f45c36895763fe462b4db51d4 +size 135 diff --git a/model-00013-of-000163.safetensors b/model-00013-of-000163.safetensors new file mode 100644 index 0000000..0c50e52 --- /dev/null +++ b/model-00013-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a25990066ee05072c079624b22db37477e7fbeb54d48e5cb49d0b5433e48af8 +size 135 diff --git a/model-00014-of-000163.safetensors b/model-00014-of-000163.safetensors new file mode 100644 index 0000000..d029de8 --- /dev/null +++ b/model-00014-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ad4596ca52064e34a94a48066192b888ef8fb15236f32a1837b2eb5ac3c9f858 +size 135 diff --git a/model-00015-of-000163.safetensors b/model-00015-of-000163.safetensors new file mode 100644 index 0000000..49d2842 --- /dev/null +++ b/model-00015-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:06fd2aed7564c2038e3da1aab80e9d05a7823586f98a817faa33bce24a07a429 +size 135 diff --git a/model-00016-of-000163.safetensors b/model-00016-of-000163.safetensors new file mode 100644 index 0000000..4ea5009 --- /dev/null +++ b/model-00016-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f619b812dbf922cbc87a89f0d4e4cf87bc11fb108e4f7e45b926ae0d803ceb8 +size 135 diff --git a/model-00017-of-000163.safetensors b/model-00017-of-000163.safetensors new file mode 100644 index 0000000..2a99b65 --- /dev/null +++ b/model-00017-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:599c722fcd03215bcb9b67aad7c79710a485507b305b5d2e57ab545b8515d9a8 +size 135 diff --git a/model-00018-of-000163.safetensors b/model-00018-of-000163.safetensors new file mode 100644 index 0000000..aa8c6eb --- /dev/null +++ b/model-00018-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f689f307ddfd68bb79ee13b6b355898bf55c9ea26212303c16eeedeeac666dad +size 135 diff --git a/model-00019-of-000163.safetensors b/model-00019-of-000163.safetensors new file mode 100644 index 0000000..bdfac77 --- /dev/null +++ b/model-00019-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7bab82e7159bc2817a42e84e3db916fb39398bfa807edab4678abb7e3e41aae5 +size 135 diff --git a/model-00020-of-000163.safetensors b/model-00020-of-000163.safetensors new file mode 100644 index 0000000..e74c99a --- /dev/null +++ b/model-00020-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:55119f2bb00b5a29522f85d726bd8be77cebe02f7af39fbd407c11b26feeb3f9 +size 135 diff --git a/model-00021-of-000163.safetensors b/model-00021-of-000163.safetensors new file mode 100644 index 0000000..88a1749 --- /dev/null +++ b/model-00021-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ac2cb0f4ae8754554217b8f16c714ab1b265f710ad87d95db6ba853fba8663a +size 135 diff --git a/model-00022-of-000163.safetensors b/model-00022-of-000163.safetensors new file mode 100644 index 0000000..d3e3672 --- /dev/null +++ b/model-00022-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd0fc0a440175e2ae630c3a182ff64fa6706ee992c6c30febedcea7c64703b52 +size 135 diff --git a/model-00023-of-000163.safetensors b/model-00023-of-000163.safetensors new file mode 100644 index 0000000..61dfeeb --- /dev/null +++ b/model-00023-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:95d262bac52c827bb4cb60b5e757f04749ef66105d4cdc933112541583ff7d11 +size 135 diff --git a/model-00024-of-000163.safetensors b/model-00024-of-000163.safetensors new file mode 100644 index 0000000..26bd5f6 --- /dev/null +++ b/model-00024-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a55227356ca83ac3451f1525835cba139a030342dad26b7fb78aca561d88f575 +size 135 diff --git a/model-00025-of-000163.safetensors b/model-00025-of-000163.safetensors new file mode 100644 index 0000000..9575ca6 --- /dev/null +++ b/model-00025-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bda6c025980d3ed183524ef05a37f61b05e55cb0307fe798a9fc73b0cedef0a4 +size 135 diff --git a/model-00026-of-000163.safetensors b/model-00026-of-000163.safetensors new file mode 100644 index 0000000..fb517ee --- /dev/null +++ b/model-00026-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:41918ba65ed14914ec1f8b2f69c60b0617fd560037332b1f86cd288e748b4bf1 +size 135 diff --git a/model-00027-of-000163.safetensors b/model-00027-of-000163.safetensors new file mode 100644 index 0000000..013822a --- /dev/null +++ b/model-00027-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:96b5e5b908e2cb2cfa45a531bdfbf1ce2cb0babf059dfb022e82df150b4c22fa +size 135 diff --git a/model-00028-of-000163.safetensors b/model-00028-of-000163.safetensors new file mode 100644 index 0000000..0da0d2f --- /dev/null +++ b/model-00028-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4849cfe03f358aef1842e68c8a53f8ea46eeff1e00323adfcae538d0ca3a85f2 +size 135 diff --git a/model-00029-of-000163.safetensors b/model-00029-of-000163.safetensors new file mode 100644 index 0000000..6953eda --- /dev/null +++ b/model-00029-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cacaca536cfc99ba59a59999cb28763bf68c88225b16a0e22b45a756cb9ec34c +size 135 diff --git a/model-00030-of-000163.safetensors b/model-00030-of-000163.safetensors new file mode 100644 index 0000000..d1d9b07 --- /dev/null +++ b/model-00030-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7fc025adc39a7c0c8d4acd40a83679d9ada2b1fab7c37c5bbecdf0af25be659d +size 135 diff --git a/model-00031-of-000163.safetensors b/model-00031-of-000163.safetensors new file mode 100644 index 0000000..0905067 --- /dev/null +++ b/model-00031-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:660a9ad518189088c3ee81d67a0c2cedfc4a2cc9e74a1efdac649325dddc6a13 +size 135 diff --git a/model-00032-of-000163.safetensors b/model-00032-of-000163.safetensors new file mode 100644 index 0000000..27c5040 --- /dev/null +++ b/model-00032-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:47479268742fe4b4ae439692bcf312b57037841990608c1b96561a3b39c76d42 +size 135 diff --git a/model-00033-of-000163.safetensors b/model-00033-of-000163.safetensors new file mode 100644 index 0000000..2d6eb00 --- /dev/null +++ b/model-00033-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:46c66c6a31f17aab307b86bacf26e2e34dd01d60f8a8a78ce096230163b3b1b0 +size 135 diff --git a/model-00034-of-000163.safetensors b/model-00034-of-000163.safetensors new file mode 100644 index 0000000..b1195b0 --- /dev/null +++ b/model-00034-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d59ac0d81e9d33674cd793311dc5a5fee4596fbcd390e279e7132a58957abf05 +size 135 diff --git a/model-00035-of-000163.safetensors b/model-00035-of-000163.safetensors new file mode 100644 index 0000000..a5f60ba --- /dev/null +++ b/model-00035-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:15cff7b774eac897954f30b41f69d3a4b91c66c0ec6b69e74685990fa1d76908 +size 135 diff --git a/model-00036-of-000163.safetensors b/model-00036-of-000163.safetensors new file mode 100644 index 0000000..d8c7779 --- /dev/null +++ b/model-00036-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e0678e3ae8b2da82da27ffb26a474e25ae751ac3e87c86345dc6b4df62bb69bc +size 135 diff --git a/model-00037-of-000163.safetensors b/model-00037-of-000163.safetensors new file mode 100644 index 0000000..c344c5a --- /dev/null +++ b/model-00037-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93292c682d7ca30d0b06dbb826aa883058b3349487074892a7f1dabf7c412edd +size 135 diff --git a/model-00038-of-000163.safetensors b/model-00038-of-000163.safetensors new file mode 100644 index 0000000..2fc1c45 --- /dev/null +++ b/model-00038-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5568f217c228ade51b58bc4cdc831f402cc7e89c37f0d492aadfa7f13e1c0662 +size 135 diff --git a/model-00039-of-000163.safetensors b/model-00039-of-000163.safetensors new file mode 100644 index 0000000..e9e4820 --- /dev/null +++ b/model-00039-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f2565ee39413812ce9c9267c67c34905e888b3cdfe77ff247981e181ed9f45ee +size 135 diff --git a/model-00040-of-000163.safetensors b/model-00040-of-000163.safetensors new file mode 100644 index 0000000..ff85533 --- /dev/null +++ b/model-00040-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:74bd9a99782d32b8adced910da9ca443cade4880e7ec6ecf47e815fdd49c329c +size 135 diff --git a/model-00041-of-000163.safetensors b/model-00041-of-000163.safetensors new file mode 100644 index 0000000..e4a6392 --- /dev/null +++ b/model-00041-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:18fa5459a000467b1a141a73cb6739dd6809130e58dbff786aadef35f8642815 +size 135 diff --git a/model-00042-of-000163.safetensors b/model-00042-of-000163.safetensors new file mode 100644 index 0000000..0917109 --- /dev/null +++ b/model-00042-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f4031e1cbb13261dba2d703e7eeafa06319306800a780da63ae38c89ed8d2dbe +size 135 diff --git a/model-00043-of-000163.safetensors b/model-00043-of-000163.safetensors new file mode 100644 index 0000000..55898d3 --- /dev/null +++ b/model-00043-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4567ced090e57572b5868215a2b4e915e49a63e04ab2e97087ae3d1f547d2f0f +size 135 diff --git a/model-00044-of-000163.safetensors b/model-00044-of-000163.safetensors new file mode 100644 index 0000000..6c17aa7 --- /dev/null +++ b/model-00044-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc53f8e0e707ec741725f884d465b84a8b240d9d1348932d41cc584e9a73695c +size 135 diff --git a/model-00045-of-000163.safetensors b/model-00045-of-000163.safetensors new file mode 100644 index 0000000..e412bd4 --- /dev/null +++ b/model-00045-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e50942ca5fe2f7e2d284f7a910a89eef31483f603df440d06ed3174fc4626215 +size 135 diff --git a/model-00046-of-000163.safetensors b/model-00046-of-000163.safetensors new file mode 100644 index 0000000..a5d2a37 --- /dev/null +++ b/model-00046-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:759286becb920e482eb718db39cf05efdb0e1652004121a34ee2d76812081539 +size 135 diff --git a/model-00047-of-000163.safetensors b/model-00047-of-000163.safetensors new file mode 100644 index 0000000..8e6b29b --- /dev/null +++ b/model-00047-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:154788662d4184fcaa43e1e29db9d1aa7c104040d262d24d13889a12625fd58f +size 135 diff --git a/model-00048-of-000163.safetensors b/model-00048-of-000163.safetensors new file mode 100644 index 0000000..7c0ac01 --- /dev/null +++ b/model-00048-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af11893c18bf9033e8b4ac14abe128f6308a657b576a33dcc7a97f75a92cd2e8 +size 135 diff --git a/model-00049-of-000163.safetensors b/model-00049-of-000163.safetensors new file mode 100644 index 0000000..43d4fba --- /dev/null +++ b/model-00049-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2e589ea6b86bb52ca7982177372fd20873c0e2c1a0014550a33b3e1eb53e4f2 +size 135 diff --git a/model-00050-of-000163.safetensors b/model-00050-of-000163.safetensors new file mode 100644 index 0000000..be74533 --- /dev/null +++ b/model-00050-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d887a00bf3f64acd54fdd0106ad8a3bf849b7b0426969e23ba9f7a285f977023 +size 135 diff --git a/model-00051-of-000163.safetensors b/model-00051-of-000163.safetensors new file mode 100644 index 0000000..fc27a43 --- /dev/null +++ b/model-00051-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75ab8179dac0dbc3f41c33d4007b66fd6f7580ab141d63eb79d364434b4fe727 +size 135 diff --git a/model-00052-of-000163.safetensors b/model-00052-of-000163.safetensors new file mode 100644 index 0000000..568661c --- /dev/null +++ b/model-00052-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4000fa109c66730a2866c6488a62afa11575394d037f05dc63a141ad83191a9 +size 135 diff --git a/model-00053-of-000163.safetensors b/model-00053-of-000163.safetensors new file mode 100644 index 0000000..4cf39f9 --- /dev/null +++ b/model-00053-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:597be10069c2e1faf37c69334c227d8c75b968de2e264c6504fdb8bbef352e79 +size 135 diff --git a/model-00054-of-000163.safetensors b/model-00054-of-000163.safetensors new file mode 100644 index 0000000..5b54698 --- /dev/null +++ b/model-00054-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cde2aa0bbe6ed85a80fe489ee239672ed2759f95a3f954113ab1cf3d2d5a3d47 +size 135 diff --git a/model-00055-of-000163.safetensors b/model-00055-of-000163.safetensors new file mode 100644 index 0000000..1e75871 --- /dev/null +++ b/model-00055-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f777f6c549b8dba5eda656dbd1a94d0d490e5df0153bac7763856f3026ac9d21 +size 135 diff --git a/model-00056-of-000163.safetensors b/model-00056-of-000163.safetensors new file mode 100644 index 0000000..5886404 --- /dev/null +++ b/model-00056-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8cb45e8e361e4caa3ed9e75adb7552bd658c066e615fd44c5162ba9abd2b8933 +size 135 diff --git a/model-00057-of-000163.safetensors b/model-00057-of-000163.safetensors new file mode 100644 index 0000000..295b9da --- /dev/null +++ b/model-00057-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a3112231e41489ad3f9f61c09b3c738ffae1bd4240a683d6f2b26bd5aefa9393 +size 135 diff --git a/model-00058-of-000163.safetensors b/model-00058-of-000163.safetensors new file mode 100644 index 0000000..f1bf366 --- /dev/null +++ b/model-00058-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1fb8d09457639ad64ddcd09652d4987ef6bdbd158531462d4ea9ff55f31ff240 +size 135 diff --git a/model-00059-of-000163.safetensors b/model-00059-of-000163.safetensors new file mode 100644 index 0000000..0b2a583 --- /dev/null +++ b/model-00059-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e48d4c5a8d0b3556d3ba7b4a4e7d92262538316417c49e910344d5f06e55ebd1 +size 135 diff --git a/model-00060-of-000163.safetensors b/model-00060-of-000163.safetensors new file mode 100644 index 0000000..5aeb83e --- /dev/null +++ b/model-00060-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6123ebe7ef6ed37b6deddfca5a3255091f00b5fa8d928ae083f49ffdc7d716f5 +size 135 diff --git a/model-00061-of-000163.safetensors b/model-00061-of-000163.safetensors new file mode 100644 index 0000000..097b876 --- /dev/null +++ b/model-00061-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ed57a6051cd14a61b729892db7f90c9329d0134a734502ab95099f547b2d379 +size 135 diff --git a/model-00062-of-000163.safetensors b/model-00062-of-000163.safetensors new file mode 100644 index 0000000..61ade93 --- /dev/null +++ b/model-00062-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bda18502e0bb6b02bc9d6bf8c369605ff72b6c7cbc26eb6009c5ec494689f136 +size 135 diff --git a/model-00063-of-000163.safetensors b/model-00063-of-000163.safetensors new file mode 100644 index 0000000..cb780cc --- /dev/null +++ b/model-00063-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4a81815a45c2d1fe06041e525d15990b476cdd06601d6a4a16c898b9059c0128 +size 135 diff --git a/model-00064-of-000163.safetensors b/model-00064-of-000163.safetensors new file mode 100644 index 0000000..4eab1b7 --- /dev/null +++ b/model-00064-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0cee68e66c81f53bf51a3f6a0507b60f888774e892b1e1390e714cb36cbd40b1 +size 135 diff --git a/model-00065-of-000163.safetensors b/model-00065-of-000163.safetensors new file mode 100644 index 0000000..eb5b440 --- /dev/null +++ b/model-00065-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:67bf1bca527d8b9d446c0bd7f8514410d401941f152d9542e4cf6bb1e8ba6c81 +size 135 diff --git a/model-00066-of-000163.safetensors b/model-00066-of-000163.safetensors new file mode 100644 index 0000000..d57e338 --- /dev/null +++ b/model-00066-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:016255960efa5cef56cb4984db1cb3385e6f22c2137f03fa820f785563c88d80 +size 135 diff --git a/model-00067-of-000163.safetensors b/model-00067-of-000163.safetensors new file mode 100644 index 0000000..cd0c129 --- /dev/null +++ b/model-00067-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ff7c6538240079d73160b7a2354c954848a865f20124911dc60d742ba31303e8 +size 135 diff --git a/model-00068-of-000163.safetensors b/model-00068-of-000163.safetensors new file mode 100644 index 0000000..83213c3 --- /dev/null +++ b/model-00068-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a79cd431b9b348afc8fb1050b4789bfb43f2d37102572f0f1195af8e5d0296e +size 135 diff --git a/model-00069-of-000163.safetensors b/model-00069-of-000163.safetensors new file mode 100644 index 0000000..7b78a39 --- /dev/null +++ b/model-00069-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:83772ac6a6e3aa956401a0b55205771f5895b8a3c0b1157ab06463a594ff779b +size 135 diff --git a/model-00070-of-000163.safetensors b/model-00070-of-000163.safetensors new file mode 100644 index 0000000..80d5879 --- /dev/null +++ b/model-00070-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cceab811df5939cfb8c17eb21e123841bc206e1a6a2175ea21c48be2fe958c89 +size 135 diff --git a/model-00071-of-000163.safetensors b/model-00071-of-000163.safetensors new file mode 100644 index 0000000..3f103d7 --- /dev/null +++ b/model-00071-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8b171e636c403b83fa9fee4de8319dbae5c8bf5d8149ae2df43e8f3d1b1907a9 +size 135 diff --git a/model-00072-of-000163.safetensors b/model-00072-of-000163.safetensors new file mode 100644 index 0000000..474e9f3 --- /dev/null +++ b/model-00072-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4347dc7212b1ede05013ef3b95674b789a775ad6148ad8714e8fb17a4ecf5bc4 +size 135 diff --git a/model-00073-of-000163.safetensors b/model-00073-of-000163.safetensors new file mode 100644 index 0000000..38b1b67 --- /dev/null +++ b/model-00073-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:42f9aeaf1d67a8a6a4ba960b99eca12fab37f9311a652af21633079c9aa29e66 +size 135 diff --git a/model-00074-of-000163.safetensors b/model-00074-of-000163.safetensors new file mode 100644 index 0000000..148e9d8 --- /dev/null +++ b/model-00074-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ab6c4a7f9d173d0af5ee7849a77ad3b963ec1f9722abed8a66493effcbebd3d1 +size 135 diff --git a/model-00075-of-000163.safetensors b/model-00075-of-000163.safetensors new file mode 100644 index 0000000..31e5ea5 --- /dev/null +++ b/model-00075-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d037aa4af7d8483f1262f9936f1701094b52eafa3b7dc45f27caa531bc28f874 +size 135 diff --git a/model-00076-of-000163.safetensors b/model-00076-of-000163.safetensors new file mode 100644 index 0000000..3ca9d9e --- /dev/null +++ b/model-00076-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8bb3d31a2818027888563738466603aa6a3bdb3711268e40293022aa03e51e0 +size 135 diff --git a/model-00077-of-000163.safetensors b/model-00077-of-000163.safetensors new file mode 100644 index 0000000..3bee643 --- /dev/null +++ b/model-00077-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:168c91490a144c2d6ff976b230ff9deede7a268a1b6d065519bbfee25d627a49 +size 135 diff --git a/model-00078-of-000163.safetensors b/model-00078-of-000163.safetensors new file mode 100644 index 0000000..d81dfb6 --- /dev/null +++ b/model-00078-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:03346d85a9ca16bf2502fdc40ae6546c3cab523813adfa26ac0653cb7f1c26f2 +size 135 diff --git a/model-00079-of-000163.safetensors b/model-00079-of-000163.safetensors new file mode 100644 index 0000000..7a0aa3f --- /dev/null +++ b/model-00079-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0657ea778424c318216a4ca9d3202bbe566485aa40a4d9401ad377185e044827 +size 135 diff --git a/model-00080-of-000163.safetensors b/model-00080-of-000163.safetensors new file mode 100644 index 0000000..7b9d1c7 --- /dev/null +++ b/model-00080-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:76528eef82b1067f649da3ffebc81644396107f243dbdddd75fbccb10556236d +size 135 diff --git a/model-00081-of-000163.safetensors b/model-00081-of-000163.safetensors new file mode 100644 index 0000000..390da8f --- /dev/null +++ b/model-00081-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d77bbcd7b9ddcd794a71a629c019aa4aa879de09b1fe52a56d4af3ce80e3029f +size 135 diff --git a/model-00082-of-000163.safetensors b/model-00082-of-000163.safetensors new file mode 100644 index 0000000..96be9e7 --- /dev/null +++ b/model-00082-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a9bd5e3c9aef2ac6728e1b75e77d2954a67b4dc43e4dce9238c845455fd0eb9a +size 135 diff --git a/model-00083-of-000163.safetensors b/model-00083-of-000163.safetensors new file mode 100644 index 0000000..3ca4745 --- /dev/null +++ b/model-00083-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b532c1d14e497d808510ed59a0d677d20588ac07c847cfe3f947b61f8a26f14 +size 135 diff --git a/model-00084-of-000163.safetensors b/model-00084-of-000163.safetensors new file mode 100644 index 0000000..774a01a --- /dev/null +++ b/model-00084-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:021a7a8ae956fca942e6f3b6fa9f30020d9f76ffe612475957660e3c1cd580b6 +size 135 diff --git a/model-00085-of-000163.safetensors b/model-00085-of-000163.safetensors new file mode 100644 index 0000000..c09063d --- /dev/null +++ b/model-00085-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c595cb9376ffa7d5cbf95aba48f44469788e12a06e13e2d32e964b516c7ebda1 +size 135 diff --git a/model-00086-of-000163.safetensors b/model-00086-of-000163.safetensors new file mode 100644 index 0000000..4793040 --- /dev/null +++ b/model-00086-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9339f8eb574ceac9b94e3cfd59b5be3693a6dc6ea57d11ce8ea15c350560013c +size 135 diff --git a/model-00087-of-000163.safetensors b/model-00087-of-000163.safetensors new file mode 100644 index 0000000..bcbf67a --- /dev/null +++ b/model-00087-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6a46b398cd293c0b3c17151120ce844aee08acac21630e70a6af71bb68111450 +size 135 diff --git a/model-00088-of-000163.safetensors b/model-00088-of-000163.safetensors new file mode 100644 index 0000000..3c01dd5 --- /dev/null +++ b/model-00088-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e63eba99a3b6be34b539780dacbd9a647a0fcd1daf66b71a64606fcc2abb8d8e +size 135 diff --git a/model-00089-of-000163.safetensors b/model-00089-of-000163.safetensors new file mode 100644 index 0000000..7236775 --- /dev/null +++ b/model-00089-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bb4776ddd0bdfa7fd60e164f33caee99337c78469c1961d8f5951f1445317bb0 +size 135 diff --git a/model-00090-of-000163.safetensors b/model-00090-of-000163.safetensors new file mode 100644 index 0000000..0b7e528 --- /dev/null +++ b/model-00090-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2f5d535c03b9c95101717a84f0bacba4767ed3248f13a78adb38a5730224bd34 +size 135 diff --git a/model-00091-of-000163.safetensors b/model-00091-of-000163.safetensors new file mode 100644 index 0000000..b75eaf6 --- /dev/null +++ b/model-00091-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a35a838d23d8d38c8e51322c1d4d7b8355ea48531cd6636d6ce1d53e1c618522 +size 135 diff --git a/model-00092-of-000163.safetensors b/model-00092-of-000163.safetensors new file mode 100644 index 0000000..195bd28 --- /dev/null +++ b/model-00092-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bcc3e39c50a11eba5460691335030b9fba540bab5ebbb94c131946c4ff2777c4 +size 135 diff --git a/model-00093-of-000163.safetensors b/model-00093-of-000163.safetensors new file mode 100644 index 0000000..aae929d --- /dev/null +++ b/model-00093-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:29bf9c7862704626abacb3b479102ec3e1f94be888f475e7e9b8b59547edb04f +size 135 diff --git a/model-00094-of-000163.safetensors b/model-00094-of-000163.safetensors new file mode 100644 index 0000000..9699db7 --- /dev/null +++ b/model-00094-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0d3dd91dbe2652de8f6a50140b7e42ad9cecf9dcaceb0f47e99f1fd01d22430d +size 135 diff --git a/model-00095-of-000163.safetensors b/model-00095-of-000163.safetensors new file mode 100644 index 0000000..cd35d22 --- /dev/null +++ b/model-00095-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:778d15e70e1d0a7128a5d80772535fe7e9505f59db011864a635d0b0dc27517c +size 135 diff --git a/model-00096-of-000163.safetensors b/model-00096-of-000163.safetensors new file mode 100644 index 0000000..b776c87 --- /dev/null +++ b/model-00096-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0bc90971e6c42ea418e5675113e1c56ed77541169446cf194578cc42be863bcf +size 135 diff --git a/model-00097-of-000163.safetensors b/model-00097-of-000163.safetensors new file mode 100644 index 0000000..527b5a8 --- /dev/null +++ b/model-00097-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cce8c44f682639f5ee47b9bc9b1c23fc7897d9b1c971ec9ec969e9dccbc74c85 +size 135 diff --git a/model-00098-of-000163.safetensors b/model-00098-of-000163.safetensors new file mode 100644 index 0000000..7a349cc --- /dev/null +++ b/model-00098-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d4270199832016e6061f05989c248f4062590f6f7867c92b0debb27015d207e +size 135 diff --git a/model-00099-of-000163.safetensors b/model-00099-of-000163.safetensors new file mode 100644 index 0000000..febf3bf --- /dev/null +++ b/model-00099-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cfcb4d1fb79d67842d56d0ce93d56e19bcbd914af53db97ff8d3c2beda7fd155 +size 135 diff --git a/model-00100-of-000163.safetensors b/model-00100-of-000163.safetensors new file mode 100644 index 0000000..156eb0d --- /dev/null +++ b/model-00100-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be9a4f7c6c308a68fa0aabbaa331a91642496520dd247ac1060ff69f37349047 +size 135 diff --git a/model-00101-of-000163.safetensors b/model-00101-of-000163.safetensors new file mode 100644 index 0000000..b7c6f52 --- /dev/null +++ b/model-00101-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc9484beea1ea4b840549a8882a3eabe60b252e063775d911221764d240d0911 +size 135 diff --git a/model-00102-of-000163.safetensors b/model-00102-of-000163.safetensors new file mode 100644 index 0000000..b2fcd4b --- /dev/null +++ b/model-00102-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dcbf0f26986e5b2389c9ca69f0e8511fa45c1e7546e10d857a44fe23fbf01b83 +size 135 diff --git a/model-00103-of-000163.safetensors b/model-00103-of-000163.safetensors new file mode 100644 index 0000000..8b1048f --- /dev/null +++ b/model-00103-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:582b6ed6c14b21f4caf93189ebd84d935461f324098a31881dd2ed12852612c1 +size 135 diff --git a/model-00104-of-000163.safetensors b/model-00104-of-000163.safetensors new file mode 100644 index 0000000..cbacdd7 --- /dev/null +++ b/model-00104-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9de59d46fcf64acf667c841e16cf5f19e0d54a2e75d6e6c2ffdda88d7f4e9fb5 +size 135 diff --git a/model-00105-of-000163.safetensors b/model-00105-of-000163.safetensors new file mode 100644 index 0000000..53c7771 --- /dev/null +++ b/model-00105-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c83a4316e7cd7604219c7501b57f651d50760a449333dc300d0414f7e215c5ac +size 135 diff --git a/model-00106-of-000163.safetensors b/model-00106-of-000163.safetensors new file mode 100644 index 0000000..03b1a47 --- /dev/null +++ b/model-00106-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3870f8f7f320b5c1c8f456153064447e58d94b6148b98e13ef6880089e36ee6a +size 135 diff --git a/model-00107-of-000163.safetensors b/model-00107-of-000163.safetensors new file mode 100644 index 0000000..3726310 --- /dev/null +++ b/model-00107-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd5e5dd7a9700ec2f24c41a41b808a5075a0a3124288b94c046defb5839fab83 +size 135 diff --git a/model-00108-of-000163.safetensors b/model-00108-of-000163.safetensors new file mode 100644 index 0000000..02f3e64 --- /dev/null +++ b/model-00108-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:30a6180cbe3b1cc1bf3a81e164596f4e8323bf5bfb0e3554a8283c8fd27d62d3 +size 135 diff --git a/model-00109-of-000163.safetensors b/model-00109-of-000163.safetensors new file mode 100644 index 0000000..ba14e0b --- /dev/null +++ b/model-00109-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f47a8090bc695f349892ad256fc8739f1b3b008b3a83143e6f71cc36cff13a1 +size 135 diff --git a/model-00110-of-000163.safetensors b/model-00110-of-000163.safetensors new file mode 100644 index 0000000..5fea35b --- /dev/null +++ b/model-00110-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c025bf128931624ee0efd6adf2e21386b12eb677bc9f22abab704de2886a020e +size 135 diff --git a/model-00111-of-000163.safetensors b/model-00111-of-000163.safetensors new file mode 100644 index 0000000..a6bda40 --- /dev/null +++ b/model-00111-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4b3c0fffab6adcceddcdabe5a44ce6331e8d2062da53c06482850cce45ed434 +size 135 diff --git a/model-00112-of-000163.safetensors b/model-00112-of-000163.safetensors new file mode 100644 index 0000000..5cba3ec --- /dev/null +++ b/model-00112-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e5879c73803bc43423fb8532d8a2656d05b00e9333c3d3bdb3c5ae14cdaa6265 +size 135 diff --git a/model-00113-of-000163.safetensors b/model-00113-of-000163.safetensors new file mode 100644 index 0000000..8eeb60b --- /dev/null +++ b/model-00113-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d623b32978aa6d97e833d4772ecd71e3e46ce4c5361896063a296d81f479b788 +size 135 diff --git a/model-00114-of-000163.safetensors b/model-00114-of-000163.safetensors new file mode 100644 index 0000000..ba4662e --- /dev/null +++ b/model-00114-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f25f49811085918741222bd5a2e391898606fd10f22ceac5ec7de1425def662a +size 135 diff --git a/model-00115-of-000163.safetensors b/model-00115-of-000163.safetensors new file mode 100644 index 0000000..6b795ae --- /dev/null +++ b/model-00115-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ae8299e4157a1bdc8876529935b273aa04d2aee4b8450ce9d588899db42949d +size 135 diff --git a/model-00116-of-000163.safetensors b/model-00116-of-000163.safetensors new file mode 100644 index 0000000..9fbc7b0 --- /dev/null +++ b/model-00116-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b3f3b6fc1cc2a762c4fb1631cbb75fa2f3098cb7c54dbed969c6310f3eb8fe2 +size 135 diff --git a/model-00117-of-000163.safetensors b/model-00117-of-000163.safetensors new file mode 100644 index 0000000..97cf48b --- /dev/null +++ b/model-00117-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5027bcf801bf466dfcdcea8bfbb47b4f174c3e4e8442759aebdcadbea851d1d0 +size 135 diff --git a/model-00118-of-000163.safetensors b/model-00118-of-000163.safetensors new file mode 100644 index 0000000..8ced1d5 --- /dev/null +++ b/model-00118-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d67c0568408894a32edbb90a44f96f729034d5f6ab5a8330d80850109367fd43 +size 135 diff --git a/model-00119-of-000163.safetensors b/model-00119-of-000163.safetensors new file mode 100644 index 0000000..043fc6f --- /dev/null +++ b/model-00119-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f4813dd2d9f5450b11e8d126eda0db85a3775a3c889baf92aedf628f1d51df3 +size 135 diff --git a/model-00120-of-000163.safetensors b/model-00120-of-000163.safetensors new file mode 100644 index 0000000..5a1b611 --- /dev/null +++ b/model-00120-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e700f710e6234217bb93d2417a4b7aad59e0cc92f62e68bbccf8c375552e1c7a +size 135 diff --git a/model-00121-of-000163.safetensors b/model-00121-of-000163.safetensors new file mode 100644 index 0000000..b4fdfbc --- /dev/null +++ b/model-00121-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73949d873bfd164a7793433aa4f9709653b513cd8d2f8c951cd5926a99ea483f +size 135 diff --git a/model-00122-of-000163.safetensors b/model-00122-of-000163.safetensors new file mode 100644 index 0000000..201c201 --- /dev/null +++ b/model-00122-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8d8fd90f1357d9c4b7dc276b6f9e26b80e2748157beb901eef7c6ecfa79665ad +size 135 diff --git a/model-00123-of-000163.safetensors b/model-00123-of-000163.safetensors new file mode 100644 index 0000000..31b35fc --- /dev/null +++ b/model-00123-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b96dedc2b0ec1fe268fed529bdb3245e42fb8af8a175018280cfce04ee85e8d0 +size 135 diff --git a/model-00124-of-000163.safetensors b/model-00124-of-000163.safetensors new file mode 100644 index 0000000..98168ad --- /dev/null +++ b/model-00124-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3ee7d2293b4a7b6a398038acc384eac50d8d2bf23d4b9b1b0a4076e58dcb6ff1 +size 135 diff --git a/model-00125-of-000163.safetensors b/model-00125-of-000163.safetensors new file mode 100644 index 0000000..b1128f2 --- /dev/null +++ b/model-00125-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6a138e44ace0e749aca7630374d9b404cefe1af8c189fdd675e9863a4afd2c04 +size 135 diff --git a/model-00126-of-000163.safetensors b/model-00126-of-000163.safetensors new file mode 100644 index 0000000..51c5ac5 --- /dev/null +++ b/model-00126-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:026f19d646650be4c82309dd3d79b514ad1da4de737cfa7e22516ab50a7e466c +size 135 diff --git a/model-00127-of-000163.safetensors b/model-00127-of-000163.safetensors new file mode 100644 index 0000000..21e8aa5 --- /dev/null +++ b/model-00127-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c3ee01f08cf4c5fd6b63b991b0577e0dfb44c77d034a14ec75a2c062fb546004 +size 135 diff --git a/model-00128-of-000163.safetensors b/model-00128-of-000163.safetensors new file mode 100644 index 0000000..fd39cbb --- /dev/null +++ b/model-00128-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:577e6ef202b758d59321710a9a7572e162a8ba1e23fc29a4c6a4c12074be1ee8 +size 135 diff --git a/model-00129-of-000163.safetensors b/model-00129-of-000163.safetensors new file mode 100644 index 0000000..50a4001 --- /dev/null +++ b/model-00129-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b7152ee7f4873f47b09ffac88de45fbb8641960b955f184f7342b5d1688abb26 +size 135 diff --git a/model-00130-of-000163.safetensors b/model-00130-of-000163.safetensors new file mode 100644 index 0000000..e3bbbbf --- /dev/null +++ b/model-00130-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2282613ec4cfbc14e2826e7b93d90ab8a230d0cdb3ff0d2368127b4e98a86070 +size 135 diff --git a/model-00131-of-000163.safetensors b/model-00131-of-000163.safetensors new file mode 100644 index 0000000..0e46528 --- /dev/null +++ b/model-00131-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23b3b2dd8a7468fc5a203f0d0355cb7042d50b6952bcb3145975e0812ac52946 +size 135 diff --git a/model-00132-of-000163.safetensors b/model-00132-of-000163.safetensors new file mode 100644 index 0000000..1e98ecd --- /dev/null +++ b/model-00132-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0329110bf8db1e8e29b3bc77365802013fcbee264d1b3e9bb8e1279687ba7f4b +size 135 diff --git a/model-00133-of-000163.safetensors b/model-00133-of-000163.safetensors new file mode 100644 index 0000000..d57c04a --- /dev/null +++ b/model-00133-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5230bde23ea1954ccb13171459c7a845cbb593ba448b802552ca3d9e33dfba30 +size 135 diff --git a/model-00134-of-000163.safetensors b/model-00134-of-000163.safetensors new file mode 100644 index 0000000..786b376 --- /dev/null +++ b/model-00134-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4fdd1272d7265e327a8d87f70c9aea031213575758dd091486cfaff25d6c2ae5 +size 135 diff --git a/model-00135-of-000163.safetensors b/model-00135-of-000163.safetensors new file mode 100644 index 0000000..9ccb873 --- /dev/null +++ b/model-00135-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:423381c8400e8859160f1f66c3c73027aa5230b3353fd5574b663f1ccc71661d +size 135 diff --git a/model-00136-of-000163.safetensors b/model-00136-of-000163.safetensors new file mode 100644 index 0000000..73dd301 --- /dev/null +++ b/model-00136-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c1f1b6bb44c805b86d40865cfc9a3e47907bfab98ec03d8c9b5c440e4cb7981 +size 135 diff --git a/model-00137-of-000163.safetensors b/model-00137-of-000163.safetensors new file mode 100644 index 0000000..002de0e --- /dev/null +++ b/model-00137-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:531f22a71f6b6f2fde817d43d23f480e712935bbcd3186648a3e8fc34e25bf54 +size 135 diff --git a/model-00138-of-000163.safetensors b/model-00138-of-000163.safetensors new file mode 100644 index 0000000..4c56d30 --- /dev/null +++ b/model-00138-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:31d5f4a83ed0799a34a36db31cdd62056e53acaddfebc5e3dd0a155af5a3db74 +size 135 diff --git a/model-00139-of-000163.safetensors b/model-00139-of-000163.safetensors new file mode 100644 index 0000000..80a5d94 --- /dev/null +++ b/model-00139-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:72ad6bbbb1f5af495092e1f7c901e06e60962c3e914203c50e71862d498f41c7 +size 135 diff --git a/model-00140-of-000163.safetensors b/model-00140-of-000163.safetensors new file mode 100644 index 0000000..478cbf4 --- /dev/null +++ b/model-00140-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0262fd0c36cacf8a8e669c54bfd25f2a48404b4a157305e291f832bab704df7 +size 135 diff --git a/model-00141-of-000163.safetensors b/model-00141-of-000163.safetensors new file mode 100644 index 0000000..3dd3d8d --- /dev/null +++ b/model-00141-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:737a174ebabc61b8004f66477e73c5d1b502efebdb07fd0b28be248fdbc2eede +size 135 diff --git a/model-00142-of-000163.safetensors b/model-00142-of-000163.safetensors new file mode 100644 index 0000000..443b342 --- /dev/null +++ b/model-00142-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d279ece0551035743b0bd9e706077b0d864ca5d280eac2f443c870499325e067 +size 135 diff --git a/model-00143-of-000163.safetensors b/model-00143-of-000163.safetensors new file mode 100644 index 0000000..482445c --- /dev/null +++ b/model-00143-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c7f5652dd6b7692b6a2016f606d9b95b6f2cb9fa83482f430cce4b63b7f0e964 +size 135 diff --git a/model-00144-of-000163.safetensors b/model-00144-of-000163.safetensors new file mode 100644 index 0000000..b865cba --- /dev/null +++ b/model-00144-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8bd4cc15e80dea5f7f5a9b65e8c6e169a410a08a72a32bf488a78376a51b7a58 +size 135 diff --git a/model-00145-of-000163.safetensors b/model-00145-of-000163.safetensors new file mode 100644 index 0000000..97c0ad0 --- /dev/null +++ b/model-00145-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aaca846586d2f91d5ad9e17e514c4518fc4dba76629b30a734c5f9e7d3f699d2 +size 135 diff --git a/model-00146-of-000163.safetensors b/model-00146-of-000163.safetensors new file mode 100644 index 0000000..623be38 --- /dev/null +++ b/model-00146-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ece137c43cc7669696c907807ffa558bd2aae5f9ce06c6961202c873f5a6c837 +size 135 diff --git a/model-00147-of-000163.safetensors b/model-00147-of-000163.safetensors new file mode 100644 index 0000000..55d841e --- /dev/null +++ b/model-00147-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01722c1b2918cfd98619834d4970c636e3ad2d3af403d24e533ecdc1d0c6c5f4 +size 135 diff --git a/model-00148-of-000163.safetensors b/model-00148-of-000163.safetensors new file mode 100644 index 0000000..0835299 --- /dev/null +++ b/model-00148-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4659a19a96beae5d786c295561f84af63f70dc240a3221531b1043d51d2f20a7 +size 135 diff --git a/model-00149-of-000163.safetensors b/model-00149-of-000163.safetensors new file mode 100644 index 0000000..e13d6e3 --- /dev/null +++ b/model-00149-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c3fc8cdaf8d1c06a68b6fa3178633661eb405b2a39a8ab55696ad3a8702925d4 +size 135 diff --git a/model-00150-of-000163.safetensors b/model-00150-of-000163.safetensors new file mode 100644 index 0000000..ea0932a --- /dev/null +++ b/model-00150-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7cf4fcfe53b6efb538903eb74a368b3e1777c1f8aafabf833ced31a146c7c6fb +size 135 diff --git a/model-00151-of-000163.safetensors b/model-00151-of-000163.safetensors new file mode 100644 index 0000000..e38307c --- /dev/null +++ b/model-00151-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9726c992c6a1ed4c07246d0582699d6147aa2e449ed8cc990577685945ab9a14 +size 135 diff --git a/model-00152-of-000163.safetensors b/model-00152-of-000163.safetensors new file mode 100644 index 0000000..240586c --- /dev/null +++ b/model-00152-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b5ea660e6f031c835f9944583a0006a7b2c785117927f611086486774c4fee72 +size 135 diff --git a/model-00153-of-000163.safetensors b/model-00153-of-000163.safetensors new file mode 100644 index 0000000..1cfa6d7 --- /dev/null +++ b/model-00153-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3911c96913a6d21577434c83c6d54b06e22964633ef43a5ecf95cf2252e177a5 +size 135 diff --git a/model-00154-of-000163.safetensors b/model-00154-of-000163.safetensors new file mode 100644 index 0000000..436833f --- /dev/null +++ b/model-00154-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:151ba56481a9be02bde56a445d1176910b4c7060ee3738c1041131b7d9aadea4 +size 135 diff --git a/model-00155-of-000163.safetensors b/model-00155-of-000163.safetensors new file mode 100644 index 0000000..77d1abe --- /dev/null +++ b/model-00155-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a72296681bb7c5147ed68fc9f2448d0392563180aa883273f3183e99d2d8608 +size 135 diff --git a/model-00156-of-000163.safetensors b/model-00156-of-000163.safetensors new file mode 100644 index 0000000..976103e --- /dev/null +++ b/model-00156-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:094e2b52e39889c85b2540a38bd7602cead89025063bf1f6c153915f8df52382 +size 135 diff --git a/model-00157-of-000163.safetensors b/model-00157-of-000163.safetensors new file mode 100644 index 0000000..89b2eb1 --- /dev/null +++ b/model-00157-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b27b82b6ea363bb6c4ccfbf6faa4ca4a23ed2c11e4c3b43c46a3238b9f368c4 +size 135 diff --git a/model-00158-of-000163.safetensors b/model-00158-of-000163.safetensors new file mode 100644 index 0000000..a922e5e --- /dev/null +++ b/model-00158-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:943c0471e9d0018fbc6845a23b3236002973946910d6d696e57bb79b4b833c44 +size 135 diff --git a/model-00159-of-000163.safetensors b/model-00159-of-000163.safetensors new file mode 100644 index 0000000..a651e14 --- /dev/null +++ b/model-00159-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:81e539ea218dae4335e47c509479b509c3353535dcdfa64167793bb9fd0df49e +size 135 diff --git a/model-00160-of-000163.safetensors b/model-00160-of-000163.safetensors new file mode 100644 index 0000000..0b7eb1a --- /dev/null +++ b/model-00160-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8991cf245a4a8aa3cffe48cdbf874aadd58f1fc5159563387c1a550b49302103 +size 135 diff --git a/model-00161-of-000163.safetensors b/model-00161-of-000163.safetensors new file mode 100644 index 0000000..7fdb341 --- /dev/null +++ b/model-00161-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4ed4d3834f1942db90080f83f147f25a78c6eee1daec5a26c3a5ce2630c2cea5 +size 135 diff --git a/model-00162-of-000163.safetensors b/model-00162-of-000163.safetensors new file mode 100644 index 0000000..ba94d3f --- /dev/null +++ b/model-00162-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:48aa1d052852d9c50c9768912180b02825dda020b8ce7ddb5d2fe44217c84a26 +size 135 diff --git a/model-00163-of-000163.safetensors b/model-00163-of-000163.safetensors new file mode 100644 index 0000000..04a1e2e --- /dev/null +++ b/model-00163-of-000163.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e7497f74b4db3080c75255f721baa22d1442124f3a1987b330178db4263f46e1 +size 135 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..8fb5064 --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2c5d238ab1e8301a117336e9797e0d3551cb8f6dc9dc787318b23d8f54c9248 +size 8898324 diff --git a/modeling_deepseek.py b/modeling_deepseek.py new file mode 100644 index 0000000..28d9ea2 --- /dev/null +++ b/modeling_deepseek.py @@ -0,0 +1,1848 @@ +# coding=utf-8 +# Copyright 2023 DeepSeek-AI and The HuggingFace Inc. team. All rights reserved. +# +# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX +# and OPT implementations in this library. It has been modified from its +# original forms to accommodate minor architectural differences compared +# to GPT-NeoX and OPT used by the Meta AI team that trained the model. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" PyTorch DeepSeek model.""" +import math +import warnings +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn.functional as F +import torch.utils.checkpoint +from torch import nn +from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss + +from transformers.activations import ACT2FN +from transformers.cache_utils import Cache, DynamicCache +from transformers.modeling_attn_mask_utils import ( + AttentionMaskConverter, + _prepare_4d_attention_mask, + _prepare_4d_causal_attention_mask, +) +from transformers.modeling_outputs import ( + BaseModelOutputWithPast, + CausalLMOutputWithPast, + SequenceClassifierOutputWithPast, +) +from transformers.modeling_utils import PreTrainedModel +from transformers.pytorch_utils import ( + ALL_LAYERNORM_LAYERS, + is_torch_greater_or_equal_than_1_13, +) +from transformers.utils import ( + add_start_docstrings, + add_start_docstrings_to_model_forward, + is_flash_attn_2_available, + is_flash_attn_greater_or_equal_2_10, + logging, + replace_return_docstrings, +) +from transformers.utils.import_utils import is_torch_fx_available +from .configuration_deepseek import DeepseekV3Config +import torch.distributed as dist +import numpy as np + +if is_flash_attn_2_available(): + from flash_attn import flash_attn_func, flash_attn_varlen_func + from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input # noqa + + +# This makes `_prepare_4d_causal_attention_mask` a leaf function in the FX graph. +# It means that the function will not be traced through and simply appear as a node in the graph. +if is_torch_fx_available(): + if not is_torch_greater_or_equal_than_1_13: + import torch.fx + + _prepare_4d_causal_attention_mask = torch.fx.wrap(_prepare_4d_causal_attention_mask) + + +logger = logging.get_logger(__name__) + +_CONFIG_FOR_DOC = "DeepseekV3Config" + + +def _get_unpad_data(attention_mask): + seqlens_in_batch = attention_mask.sum(dim=-1, dtype=torch.int32) + indices = torch.nonzero(attention_mask.flatten(), as_tuple=False).flatten() + max_seqlen_in_batch = seqlens_in_batch.max().item() + cu_seqlens = F.pad( + torch.cumsum(seqlens_in_batch, dim=0, dtype=torch.torch.int32), (1, 0) + ) + return ( + indices, + cu_seqlens, + max_seqlen_in_batch, + ) + + +class DeepseekV3RMSNorm(nn.Module): + def __init__(self, hidden_size, eps=1e-6): + """ + DeepseekV3RMSNorm is equivalent to T5LayerNorm + """ + super().__init__() + self.weight = nn.Parameter(torch.ones(hidden_size)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + input_dtype = hidden_states.dtype + hidden_states = hidden_states.to(torch.float32) + variance = hidden_states.pow(2).mean(-1, keepdim=True) + hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) + return self.weight * hidden_states.to(input_dtype) + + +ALL_LAYERNORM_LAYERS.append(DeepseekV3RMSNorm) + + +class DeepseekV3RotaryEmbedding(nn.Module): + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): + super().__init__() + + self.dim = dim + self.max_position_embeddings = max_position_embeddings + self.base = base + inv_freq = 1.0 / ( + self.base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim) + ) + self.register_buffer("inv_freq", inv_freq, persistent=False) + + # Build here to make `torch.jit.trace` work. + self._set_cos_sin_cache( + seq_len=max_position_embeddings, + device=self.inv_freq.device, + dtype=torch.get_default_dtype(), + ) + self.max_seq_len_cached = None + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + t = torch.arange( + self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype + ) + + freqs = torch.outer(t, self.inv_freq.to(t.device)) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", emb.cos().to(dtype), persistent=False) + self.register_buffer("sin_cached", emb.sin().to(dtype), persistent=False) + + def forward(self, x, seq_len=None): + # x: [bs, num_attention_heads, seq_len, head_size] + if self.max_seq_len_cached is None or seq_len > self.max_seq_len_cached: + self._set_cos_sin_cache(seq_len=seq_len, device=x.device, dtype=x.dtype) + + return ( + self.cos_cached[:seq_len].to(dtype=x.dtype), + self.sin_cached[:seq_len].to(dtype=x.dtype), + ) + + +# Copied from transformers.models.llama.modeling_llama.LlamaLinearScalingRotaryEmbedding with Llama->DeepseekV3 +class DeepseekV3LinearScalingRotaryEmbedding(DeepseekV3RotaryEmbedding): + """DeepseekV3RotaryEmbedding extended with linear scaling. Credits to the Reddit user /u/kaiokendev""" + + def __init__( + self, + dim, + max_position_embeddings=2048, + base=10000, + device=None, + scaling_factor=1.0, + ): + self.scaling_factor = scaling_factor + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + t = torch.arange( + self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype + ) + t = t / self.scaling_factor + + freqs = torch.outer(t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", emb.cos().to(dtype), persistent=False) + self.register_buffer("sin_cached", emb.sin().to(dtype), persistent=False) + + +# Copied from transformers.models.llama.modeling_llama.LlamaDynamicNTKScalingRotaryEmbedding with Llama->DeepseekV3 +class DeepseekV3DynamicNTKScalingRotaryEmbedding(DeepseekV3RotaryEmbedding): + """DeepseekV3RotaryEmbedding extended with Dynamic NTK scaling. Credits to the Reddit users /u/bloc97 and /u/emozilla""" + + def __init__( + self, + dim, + max_position_embeddings=2048, + base=10000, + device=None, + scaling_factor=1.0, + ): + self.scaling_factor = scaling_factor + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + + if seq_len > self.max_position_embeddings: + base = self.base * ( + (self.scaling_factor * seq_len / self.max_position_embeddings) + - (self.scaling_factor - 1) + ) ** (self.dim / (self.dim - 2)) + inv_freq = 1.0 / ( + base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim) + ) + self.register_buffer("inv_freq", inv_freq, persistent=False) + + t = torch.arange( + self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype + ) + + freqs = torch.outer(t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", emb.cos().to(dtype), persistent=False) + self.register_buffer("sin_cached", emb.sin().to(dtype), persistent=False) + + +# Inverse dim formula to find dim based on number of rotations +def yarn_find_correction_dim( + num_rotations, dim, base=10000, max_position_embeddings=2048 +): + return (dim * math.log(max_position_embeddings / (num_rotations * 2 * math.pi))) / ( + 2 * math.log(base) + ) + + +# Find dim range bounds based on rotations +def yarn_find_correction_range( + low_rot, high_rot, dim, base=10000, max_position_embeddings=2048 +): + low = math.floor( + yarn_find_correction_dim(low_rot, dim, base, max_position_embeddings) + ) + high = math.ceil( + yarn_find_correction_dim(high_rot, dim, base, max_position_embeddings) + ) + return max(low, 0), min(high, dim - 1) # Clamp values just in case + + +def yarn_get_mscale(scale=1, mscale=1): + if scale <= 1: + return 1.0 + return 0.1 * mscale * math.log(scale) + 1.0 + + +def yarn_linear_ramp_mask(min, max, dim): + if min == max: + max += 0.001 # Prevent singularity + + linear_func = (torch.arange(dim, dtype=torch.float32) - min) / (max - min) + ramp_func = torch.clamp(linear_func, 0, 1) + return ramp_func + + +class DeepseekV3YarnRotaryEmbedding(DeepseekV3RotaryEmbedding): + + def __init__( + self, + dim, + max_position_embeddings=2048, + base=10000, + device=None, + scaling_factor=1.0, + original_max_position_embeddings=4096, + beta_fast=32, + beta_slow=1, + mscale=1, + mscale_all_dim=0, + ): + self.scaling_factor = scaling_factor + self.original_max_position_embeddings = original_max_position_embeddings + self.beta_fast = beta_fast + self.beta_slow = beta_slow + self.mscale = mscale + self.mscale_all_dim = mscale_all_dim + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + dim = self.dim + + freq_extra = 1.0 / ( + self.base + ** (torch.arange(0, dim, 2, dtype=torch.float32, device=device) / dim) + ) + freq_inter = 1.0 / ( + self.scaling_factor + * self.base + ** (torch.arange(0, dim, 2, dtype=torch.float32, device=device) / dim) + ) + + low, high = yarn_find_correction_range( + self.beta_fast, + self.beta_slow, + dim, + self.base, + self.original_max_position_embeddings, + ) + inv_freq_mask = 1.0 - yarn_linear_ramp_mask(low, high, dim // 2).to( + device=device, dtype=torch.float32 + ) + inv_freq = freq_inter * (1 - inv_freq_mask) + freq_extra * inv_freq_mask + self.register_buffer("inv_freq", inv_freq, persistent=False) + + t = torch.arange(seq_len, device=device, dtype=torch.float32) + + freqs = torch.outer(t, inv_freq) + + _mscale = float( + yarn_get_mscale(self.scaling_factor, self.mscale) + / yarn_get_mscale(self.scaling_factor, self.mscale_all_dim) + ) + + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer( + "cos_cached", (emb.cos() * _mscale).to(dtype), persistent=False + ) + self.register_buffer( + "sin_cached", (emb.sin() * _mscale).to(dtype), persistent=False + ) + + +# Copied from transformers.models.llama.modeling_llama.rotate_half +def rotate_half(x): + """Rotates half the hidden dims of the input.""" + x1 = x[..., : x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2 :] + return torch.cat((-x2, x1), dim=-1) + + +# Copied from transformers.models.llama.modeling_llama.apply_rotary_pos_emb +def apply_rotary_pos_emb(q, k, cos, sin, position_ids, unsqueeze_dim=1): + """Applies Rotary Position Embedding to the query and key tensors. + + Args: + q (`torch.Tensor`): The query tensor. + k (`torch.Tensor`): The key tensor. + cos (`torch.Tensor`): The cosine part of the rotary embedding. + sin (`torch.Tensor`): The sine part of the rotary embedding. + position_ids (`torch.Tensor`): + The position indices of the tokens corresponding to the query and key tensors. For example, this can be + used to pass offsetted position ids when working with a KV-cache. + unsqueeze_dim (`int`, *optional*, defaults to 1): + The 'unsqueeze_dim' argument specifies the dimension along which to unsqueeze cos[position_ids] and + sin[position_ids] so that they can be properly broadcasted to the dimensions of q and k. For example, note + that cos[position_ids] and sin[position_ids] have the shape [batch_size, seq_len, head_dim]. Then, if q and + k have the shape [batch_size, heads, seq_len, head_dim], then setting unsqueeze_dim=1 makes + cos[position_ids] and sin[position_ids] broadcastable to the shapes of q and k. Similarly, if q and k have + the shape [batch_size, seq_len, heads, head_dim], then set unsqueeze_dim=2. + Returns: + `tuple(torch.Tensor)` comprising of the query and key tensors rotated using the Rotary Position Embedding. + """ + cos = cos[position_ids].unsqueeze(unsqueeze_dim) + sin = sin[position_ids].unsqueeze(unsqueeze_dim) + + b, h, s, d = q.shape + q = q.view(b, h, s, d // 2, 2).transpose(4, 3).reshape(b, h, s, d) + + b, h, s, d = k.shape + k = k.view(b, h, s, d // 2, 2).transpose(4, 3).reshape(b, h, s, d) + + q_embed = (q * cos) + (rotate_half(q) * sin) + k_embed = (k * cos) + (rotate_half(k) * sin) + return q_embed, k_embed + + +class DeepseekV3MLP(nn.Module): + def __init__(self, config, hidden_size=None, intermediate_size=None): + super().__init__() + self.config = config + self.hidden_size = config.hidden_size if hidden_size is None else hidden_size + self.intermediate_size = ( + config.intermediate_size if intermediate_size is None else intermediate_size + ) + + self.gate_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.up_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.down_proj = nn.Linear(self.intermediate_size, self.hidden_size, bias=False) + self.act_fn = ACT2FN[config.hidden_act] + + def forward(self, x): + down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x)) + return down_proj + + +class MoEGate(nn.Module): + def __init__(self, config): + super().__init__() + self.config = config + self.top_k = config.num_experts_per_tok + self.n_routed_experts = config.n_routed_experts + self.routed_scaling_factor = config.routed_scaling_factor + self.scoring_func = config.scoring_func + self.topk_method = config.topk_method + self.n_group = config.n_group + self.topk_group = config.topk_group + + # topk selection algorithm + self.norm_topk_prob = config.norm_topk_prob + self.gating_dim = config.hidden_size + self.weight = nn.Parameter( + torch.empty((self.n_routed_experts, self.gating_dim)) + ) + if self.topk_method == "noaux_tc": + self.e_score_correction_bias = nn.Parameter( + torch.empty((self.n_routed_experts)) + ) + self.reset_parameters() + + def reset_parameters(self) -> None: + import torch.nn.init as init + + init.kaiming_uniform_(self.weight, a=math.sqrt(5)) + + def forward(self, hidden_states): + bsz, seq_len, h = hidden_states.shape + ### compute gating score + hidden_states = hidden_states.view(-1, h) + logits = F.linear( + hidden_states.type(torch.float32), self.weight.type(torch.float32), None + ) + if self.scoring_func == "sigmoid": + scores = logits.sigmoid() + else: + raise NotImplementedError( + f"insupportable scoring function for MoE gating: {self.scoring_func}" + ) + + ### select top-k experts + if self.topk_method == "noaux_tc": + assert not self.training + scores_for_choice = scores.view(bsz * seq_len, -1) + self.e_score_correction_bias.unsqueeze(0) + group_scores = ( + scores_for_choice.view(bsz * seq_len, self.n_group, -1).topk(2, dim=-1)[0].sum(dim = -1) + ) # [n, n_group] + group_idx = torch.topk( + group_scores, k=self.topk_group, dim=-1, sorted=False + )[ + 1 + ] # [n, top_k_group] + group_mask = torch.zeros_like(group_scores) # [n, n_group] + group_mask.scatter_(1, group_idx, 1) # [n, n_group] + score_mask = ( + group_mask.unsqueeze(-1) + .expand( + bsz * seq_len, self.n_group, self.n_routed_experts // self.n_group + ) + .reshape(bsz * seq_len, -1) + ) # [n, e] + tmp_scores = scores_for_choice.masked_fill(~score_mask.bool(), float("-inf")) # [n, e] + _, topk_idx = torch.topk( + tmp_scores, k=self.top_k, dim=-1, sorted=False + ) + topk_weight = scores.gather(1, topk_idx) + else: + raise NotImplementedError( + f"insupportable TopK function for MoE gating: {self.topk_method}" + ) + + ### norm gate to sum 1 + if self.top_k > 1 and self.norm_topk_prob: + denominator = topk_weight.sum(dim=-1, keepdim=True) + 1e-20 + topk_weight = topk_weight / denominator + topk_weight = topk_weight * self.routed_scaling_factor # must multiply the scaling factor + + return topk_idx, topk_weight + +class DeepseekV3MoE(nn.Module): + """ + A mixed expert module containing shared experts. + """ + + def __init__(self, config): + super().__init__() + self.config = config + self.num_experts_per_tok = config.num_experts_per_tok + + if hasattr(config, "ep_size") and config.ep_size > 1: + assert config.ep_size == dist.get_world_size() + self.ep_size = config.ep_size + self.experts_per_rank = config.n_routed_experts // config.ep_size + self.ep_rank = dist.get_rank() + self.experts = nn.ModuleList( + [ + ( + DeepseekV3MLP( + config, intermediate_size=config.moe_intermediate_size + ) + if i >= self.ep_rank * self.experts_per_rank + and i < (self.ep_rank + 1) * self.experts_per_rank + else None + ) + for i in range(config.n_routed_experts) + ] + ) + else: + self.ep_size = 1 + self.experts_per_rank = config.n_routed_experts + self.ep_rank = 0 + self.experts = nn.ModuleList( + [ + DeepseekV3MLP( + config, intermediate_size=config.moe_intermediate_size + ) + for i in range(config.n_routed_experts) + ] + ) + self.gate = MoEGate(config) + if config.n_shared_experts is not None: + intermediate_size = config.moe_intermediate_size * config.n_shared_experts + self.shared_experts = DeepseekV3MLP( + config=config, intermediate_size=intermediate_size + ) + + def forward(self, hidden_states): + identity = hidden_states + orig_shape = hidden_states.shape + topk_idx, topk_weight = self.gate(hidden_states) + hidden_states = hidden_states.view(-1, hidden_states.shape[-1]) + flat_topk_idx = topk_idx.view(-1) + if not self.training: + y = self.moe_infer(hidden_states, topk_idx, topk_weight).view(*orig_shape) + if self.config.n_shared_experts is not None: + y = y + self.shared_experts(identity) + return y + + @torch.no_grad() + def moe_infer(self, x, topk_ids, topk_weight): + cnts = topk_ids.new_zeros((topk_ids.shape[0], len(self.experts))) + cnts.scatter_(1, topk_ids, 1) + tokens_per_expert = cnts.sum(dim=0) + idxs = topk_ids.view(-1).argsort() + sorted_tokens = x[idxs // topk_ids.shape[1]] + sorted_tokens_shape = sorted_tokens.shape + if self.ep_size > 1: + tokens_per_ep_rank = tokens_per_expert.view(self.ep_size, -1).sum(dim=1) + tokens_per_expert_group = tokens_per_expert.new_empty( + tokens_per_expert.shape[0] + ) + dist.all_to_all_single(tokens_per_expert_group, tokens_per_expert) + output_splits = ( + tokens_per_expert_group.view(self.ep_size, -1) + .sum(1) + .cpu() + .numpy() + .tolist() + ) + gathered_tokens = sorted_tokens.new_empty( + tokens_per_expert_group.sum(dim=0).cpu().item(), sorted_tokens.shape[1] + ) + input_split_sizes = tokens_per_ep_rank.cpu().numpy().tolist() + dist.all_to_all( + list(gathered_tokens.split(output_splits)), + list(sorted_tokens.split(input_split_sizes)), + ) + tokens_per_expert_post_gather = tokens_per_expert_group.view( + self.ep_size, self.experts_per_rank + ).sum(dim=0) + gatherd_idxs = np.zeros(shape=(gathered_tokens.shape[0],), dtype=np.int32) + s = 0 + for i, k in enumerate(tokens_per_expert_group.cpu().numpy()): + gatherd_idxs[s : s + k] = i % self.experts_per_rank + s += k + gatherd_idxs = gatherd_idxs.argsort() + sorted_tokens = gathered_tokens[gatherd_idxs] + tokens_per_expert = tokens_per_expert_post_gather + tokens_per_expert = tokens_per_expert.cpu().numpy() + + outputs = [] + start_idx = 0 + for i, num_tokens in enumerate(tokens_per_expert): + end_idx = start_idx + num_tokens + if num_tokens == 0: + continue + expert = self.experts[i + self.ep_rank * self.experts_per_rank] + tokens_for_this_expert = sorted_tokens[start_idx:end_idx] + expert_out = expert(tokens_for_this_expert) + outputs.append(expert_out) + start_idx = end_idx + + outs = torch.cat(outputs, dim=0) if len(outputs) else sorted_tokens.new_empty(0) + if self.ep_size > 1: + new_x = torch.empty_like(outs) + new_x[gatherd_idxs] = outs + gathered_tokens = new_x.new_empty(*sorted_tokens_shape) + dist.all_to_all( + list(gathered_tokens.split(input_split_sizes)), + list(new_x.split(output_splits)), + ) + outs = gathered_tokens + + new_x = torch.empty_like(outs) + new_x[idxs] = outs + final_out = ( + new_x.view(*topk_ids.shape, -1) + .type(topk_weight.dtype) + .mul_(topk_weight.unsqueeze(dim=-1)) + .sum(dim=1) + .type(new_x.dtype) + ) + return final_out + + +# Copied from transformers.models.llama.modeling_llama.repeat_kv +def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: + """ + This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, + num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim) + """ + batch, num_key_value_heads, slen, head_dim = hidden_states.shape + if n_rep == 1: + return hidden_states + hidden_states = hidden_states[:, :, None, :, :].expand( + batch, num_key_value_heads, n_rep, slen, head_dim + ) + return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim) + + +# Copied from transformers.models.llama.modeling_llama.LlamaAttention with Llama->DeepseekV3 +class DeepseekV3Attention(nn.Module): + """Multi-headed attention from 'Attention Is All You Need' paper""" + + def __init__(self, config: DeepseekV3Config, layer_idx: Optional[int] = None): + super().__init__() + self.config = config + self.layer_idx = layer_idx + if layer_idx is None: + logger.warning_once( + f"Instantiating {self.__class__.__name__} without passing `layer_idx` is not recommended and will " + "to errors during the forward call, if caching is used. Please make sure to provide a `layer_idx` " + "when creating this class." + ) + + self.attention_dropout = config.attention_dropout + self.hidden_size = config.hidden_size + self.num_heads = config.num_attention_heads + + self.max_position_embeddings = config.max_position_embeddings + self.rope_theta = config.rope_theta + self.q_lora_rank = config.q_lora_rank + self.qk_rope_head_dim = config.qk_rope_head_dim + self.kv_lora_rank = config.kv_lora_rank + self.v_head_dim = config.v_head_dim + self.qk_nope_head_dim = config.qk_nope_head_dim + self.q_head_dim = config.qk_nope_head_dim + config.qk_rope_head_dim + + self.is_causal = True + + if self.q_lora_rank is None: + self.q_proj = nn.Linear( + self.hidden_size, self.num_heads * self.q_head_dim, bias=False + ) + else: + self.q_a_proj = nn.Linear( + self.hidden_size, config.q_lora_rank, bias=config.attention_bias + ) + self.q_a_layernorm = DeepseekV3RMSNorm(config.q_lora_rank) + self.q_b_proj = nn.Linear( + config.q_lora_rank, self.num_heads * self.q_head_dim, bias=False + ) + + self.kv_a_proj_with_mqa = nn.Linear( + self.hidden_size, + config.kv_lora_rank + config.qk_rope_head_dim, + bias=config.attention_bias, + ) + self.kv_a_layernorm = DeepseekV3RMSNorm(config.kv_lora_rank) + self.kv_b_proj = nn.Linear( + config.kv_lora_rank, + self.num_heads + * (self.q_head_dim - self.qk_rope_head_dim + self.v_head_dim), + bias=False, + ) + + self.o_proj = nn.Linear( + self.num_heads * self.v_head_dim, + self.hidden_size, + bias=config.attention_bias, + ) + self._init_rope() + + self.softmax_scale = self.q_head_dim ** (-0.5) + if self.config.rope_scaling is not None: + mscale_all_dim = self.config.rope_scaling.get("mscale_all_dim", 0) + scaling_factor = self.config.rope_scaling["factor"] + if mscale_all_dim: + mscale = yarn_get_mscale(scaling_factor, mscale_all_dim) + self.softmax_scale = self.softmax_scale * mscale * mscale + + def _init_rope(self): + if self.config.rope_scaling is None: + self.rotary_emb = DeepseekV3RotaryEmbedding( + self.qk_rope_head_dim, + max_position_embeddings=self.max_position_embeddings, + base=self.rope_theta, + ) + else: + scaling_type = self.config.rope_scaling["type"] + scaling_factor = self.config.rope_scaling["factor"] + if scaling_type == "linear": + self.rotary_emb = DeepseekV3LinearScalingRotaryEmbedding( + self.qk_rope_head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + base=self.rope_theta, + ) + elif scaling_type == "dynamic": + self.rotary_emb = DeepseekV3DynamicNTKScalingRotaryEmbedding( + self.qk_rope_head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + base=self.rope_theta, + ) + elif scaling_type == "yarn": + kwargs = { + key: self.config.rope_scaling[key] + for key in [ + "original_max_position_embeddings", + "beta_fast", + "beta_slow", + "mscale", + "mscale_all_dim", + ] + if key in self.config.rope_scaling + } + self.rotary_emb = DeepseekV3YarnRotaryEmbedding( + self.qk_rope_head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + base=self.rope_theta, + **kwargs, + ) + else: + raise ValueError(f"Unknown RoPE scaling type {scaling_type}") + + def _shape(self, tensor: torch.Tensor, seq_len: int, bsz: int): + return ( + tensor.view(bsz, seq_len, self.num_heads, self.v_head_dim) + .transpose(1, 2) + .contiguous() + ) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Cache] = None, + output_attentions: bool = False, + use_cache: bool = False, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + if "padding_mask" in kwargs: + warnings.warn( + "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`" + ) + bsz, q_len, _ = hidden_states.size() + + if self.q_lora_rank is None: + q = self.q_proj(hidden_states) + else: + q = self.q_b_proj(self.q_a_layernorm(self.q_a_proj(hidden_states))) + q = q.view(bsz, q_len, self.num_heads, self.q_head_dim).transpose(1, 2) + q_nope, q_pe = torch.split( + q, [self.qk_nope_head_dim, self.qk_rope_head_dim], dim=-1 + ) + + compressed_kv = self.kv_a_proj_with_mqa(hidden_states) + compressed_kv, k_pe = torch.split( + compressed_kv, [self.kv_lora_rank, self.qk_rope_head_dim], dim=-1 + ) + k_pe = k_pe.view(bsz, q_len, 1, self.qk_rope_head_dim).transpose(1, 2) + kv = ( + self.kv_b_proj(self.kv_a_layernorm(compressed_kv)) + .view(bsz, q_len, self.num_heads, self.qk_nope_head_dim + self.v_head_dim) + .transpose(1, 2) + ) + + k_nope, value_states = torch.split( + kv, [self.qk_nope_head_dim, self.v_head_dim], dim=-1 + ) + kv_seq_len = value_states.shape[-2] + if past_key_value is not None: + if self.layer_idx is None: + raise ValueError( + f"The cache structure has changed since version v4.36. If you are using {self.__class__.__name__} " + "for auto-regressive decoding with k/v caching, please make sure to initialize the attention class " + "with a layer index." + ) + kv_seq_len += past_key_value.get_usable_length(kv_seq_len, self.layer_idx) + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + + q_pe, k_pe = apply_rotary_pos_emb(q_pe, k_pe, cos, sin, position_ids) + + query_states = k_pe.new_empty(bsz, self.num_heads, q_len, self.q_head_dim) + query_states[:, :, :, : self.qk_nope_head_dim] = q_nope + query_states[:, :, :, self.qk_nope_head_dim :] = q_pe + + key_states = k_pe.new_empty(bsz, self.num_heads, q_len, self.q_head_dim) + key_states[:, :, :, : self.qk_nope_head_dim] = k_nope + key_states[:, :, :, self.qk_nope_head_dim :] = k_pe + if past_key_value is not None: + cache_kwargs = {"sin": sin, "cos": cos} # Specific to RoPE models + key_states, value_states = past_key_value.update( + key_states, value_states, self.layer_idx, cache_kwargs + ) + + attn_weights = ( + torch.matmul(query_states, key_states.transpose(2, 3)) * self.softmax_scale + ) + + if attn_weights.size() != (bsz, self.num_heads, q_len, kv_seq_len): + raise ValueError( + f"Attention weights should be of size {(bsz, self.num_heads, q_len, kv_seq_len)}, but is" + f" {attn_weights.size()}" + ) + assert attention_mask is not None + if attention_mask is not None: + if attention_mask.size() != (bsz, 1, q_len, kv_seq_len): + raise ValueError( + f"Attention mask should be of size {(bsz, 1, q_len, kv_seq_len)}, but is {attention_mask.size()}" + ) + attn_weights = attn_weights + attention_mask + + # upcast attention to fp32 + attn_weights = nn.functional.softmax( + attn_weights, dim=-1, dtype=torch.float32 + ).to(query_states.dtype) + attn_weights = nn.functional.dropout( + attn_weights, p=self.attention_dropout, training=self.training + ) + attn_output = torch.matmul(attn_weights, value_states) + + if attn_output.size() != (bsz, self.num_heads, q_len, self.v_head_dim): + raise ValueError( + f"`attn_output` should be of size {(bsz, self.num_heads, q_len, self.v_head_dim)}, but is" + f" {attn_output.size()}" + ) + + attn_output = attn_output.transpose(1, 2).contiguous() + + attn_output = attn_output.reshape(bsz, q_len, self.num_heads * self.v_head_dim) + + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + +# Copied from transformers.models.llama.modeling_llama.LlamaFlashAttention2 with Llama->DeepseekV3 +class DeepseekV3FlashAttention2(DeepseekV3Attention): + """ + DeepseekV3 flash attention module. This module inherits from `DeepseekV3Attention` as the weights of the module stays + untouched. The only required change would be on the forward pass where it needs to correctly call the public API of + flash attention and deal with padding tokens in case the input contains any of them. + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + # TODO: Should be removed once Flash Attention for RoCm is bumped to 2.1. + # flash_attn<2.1 generates top-left aligned causal mask, while what is needed here is bottom-right alignement, that was made default for flash_attn>=2.1. This attribute is used to handle this difference. Reference: https://github.com/Dao-AILab/flash-attention/releases/tag/v2.1.0. + # Beware that with flash_attn<2.1, using q_seqlen != k_seqlen (except for the case q_seqlen == 1) produces a wrong mask (top-left). + self._flash_attn_uses_top_left_mask = not is_flash_attn_greater_or_equal_2_10() + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.LongTensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Cache] = None, + output_attentions: bool = False, + use_cache: bool = False, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + # DeepseekV3FlashAttention2 attention does not support output_attentions + if "padding_mask" in kwargs: + warnings.warn( + "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`" + ) + + # overwrite attention_mask with padding_mask + attention_mask = kwargs.pop("padding_mask") + + output_attentions = False + + bsz, q_len, _ = hidden_states.size() + + if self.q_lora_rank is None: + q = self.q_proj(hidden_states) + else: + q = self.q_b_proj(self.q_a_layernorm(self.q_a_proj(hidden_states))) + q = q.view(bsz, q_len, self.num_heads, self.q_head_dim).transpose(1, 2) + q_nope, q_pe = torch.split( + q, [self.qk_nope_head_dim, self.qk_rope_head_dim], dim=-1 + ) + + # Flash attention requires the input to have the shape + # batch_size x seq_length x head_dim x hidden_dim + # therefore we just need to keep the original shape + compressed_kv = self.kv_a_proj_with_mqa(hidden_states) + compressed_kv, k_pe = torch.split( + compressed_kv, [self.kv_lora_rank, self.qk_rope_head_dim], dim=-1 + ) + k_pe = k_pe.view(bsz, q_len, 1, self.qk_rope_head_dim).transpose(1, 2) + kv = ( + self.kv_b_proj(self.kv_a_layernorm(compressed_kv)) + .view(bsz, q_len, self.num_heads, self.qk_nope_head_dim + self.v_head_dim) + .transpose(1, 2) + ) + + k_nope, value_states = torch.split( + kv, [self.qk_nope_head_dim, self.v_head_dim], dim=-1 + ) + kv_seq_len = value_states.shape[-2] + + kv_seq_len = value_states.shape[-2] + if past_key_value is not None: + kv_seq_len += past_key_value.get_usable_length(kv_seq_len, self.layer_idx) + + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + q_pe, k_pe = apply_rotary_pos_emb(q_pe, k_pe, cos, sin, position_ids) + + query_states = k_pe.new_empty(bsz, self.num_heads, q_len, self.q_head_dim) + query_states[:, :, :, : self.qk_nope_head_dim] = q_nope + query_states[:, :, :, self.qk_nope_head_dim :] = q_pe + + key_states = k_pe.new_empty(bsz, self.num_heads, q_len, self.q_head_dim) + key_states[:, :, :, : self.qk_nope_head_dim] = k_nope + key_states[:, :, :, self.qk_nope_head_dim :] = k_pe + + if self.q_head_dim != self.v_head_dim: + value_states = F.pad(value_states, [0, self.q_head_dim - self.v_head_dim]) + + if past_key_value is not None: + cache_kwargs = {"sin": sin, "cos": cos} # Specific to RoPE models + key_states, value_states = past_key_value.update( + key_states, value_states, self.layer_idx, cache_kwargs + ) + + # TODO: These transpose are quite inefficient but Flash Attention requires the layout [batch_size, sequence_length, num_heads, head_dim]. We would need to refactor the KV cache + # to be able to avoid many of these transpose/reshape/view. + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + dropout_rate = self.attention_dropout if self.training else 0.0 + + # In PEFT, usually we cast the layer norms in float32 for training stability reasons + # therefore the input hidden states gets silently casted in float32. Hence, we need + # cast them back in the correct dtype just to be sure everything works as expected. + # This might slowdown training & inference so it is recommended to not cast the LayerNorms + # in fp32. (DeepseekV3RMSNorm handles it correctly) + + input_dtype = query_states.dtype + if input_dtype == torch.float32: + # Handle the case where the model is quantized + if hasattr(self.config, "_pre_quantization_dtype"): + target_dtype = self.config._pre_quantization_dtype + elif torch.is_autocast_enabled(): + target_dtype = torch.get_autocast_gpu_dtype() + else: + target_dtype = ( + self.q_proj.weight.dtype + if self.q_lora_rank is None + else self.q_a_proj.weight.dtype + ) + + logger.warning_once( + f"The input hidden states seems to be silently casted in float32, this might be related to" + f" the fact you have upcasted embedding or layer norm layers in float32. We will cast back the input in" + f" {target_dtype}." + ) + + query_states = query_states.to(target_dtype) + key_states = key_states.to(target_dtype) + value_states = value_states.to(target_dtype) + + attn_output = self._flash_attention_forward( + query_states, + key_states, + value_states, + attention_mask, + q_len, + dropout=dropout_rate, + softmax_scale=self.softmax_scale, + ) + if self.q_head_dim != self.v_head_dim: + attn_output = attn_output[:, :, :, : self.v_head_dim] + + attn_output = attn_output.reshape( + bsz, q_len, self.num_heads * self.v_head_dim + ).contiguous() + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + def _flash_attention_forward( + self, + query_states, + key_states, + value_states, + attention_mask, + query_length, + dropout=0.0, + softmax_scale=None, + ): + """ + Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token + first unpad the input, then computes the attention scores and pad the final attention scores. + + Args: + query_states (`torch.Tensor`): + Input query states to be passed to Flash Attention API + key_states (`torch.Tensor`): + Input key states to be passed to Flash Attention API + value_states (`torch.Tensor`): + Input value states to be passed to Flash Attention API + attention_mask (`torch.Tensor`): + The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the + position of padding tokens and 1 for the position of non-padding tokens. + dropout (`int`, *optional*): + Attention dropout + softmax_scale (`float`, *optional*): + The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim) + """ + if not self._flash_attn_uses_top_left_mask: + causal = self.is_causal + else: + # TODO: Remove the `query_length != 1` check once Flash Attention for RoCm is bumped to 2.1. For details, please see the comment in DeepseekV3FlashAttention2 __init__. + causal = self.is_causal and query_length != 1 + + # Contains at least one padding token in the sequence + if attention_mask is not None: + batch_size = query_states.shape[0] + ( + query_states, + key_states, + value_states, + indices_q, + cu_seq_lens, + max_seq_lens, + ) = self._upad_input( + query_states, key_states, value_states, attention_mask, query_length + ) + + cu_seqlens_q, cu_seqlens_k = cu_seq_lens + max_seqlen_in_batch_q, max_seqlen_in_batch_k = max_seq_lens + + attn_output_unpad = flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=dropout, + softmax_scale=softmax_scale, + causal=causal, + ) + + attn_output = pad_input( + attn_output_unpad, indices_q, batch_size, query_length + ) + else: + attn_output = flash_attn_func( + query_states, + key_states, + value_states, + dropout, + softmax_scale=softmax_scale, + causal=causal, + ) + + return attn_output + + def _upad_input( + self, query_layer, key_layer, value_layer, attention_mask, query_length + ): + indices_k, cu_seqlens_k, max_seqlen_in_batch_k = _get_unpad_data(attention_mask) + batch_size, kv_seq_len, num_key_value_heads, head_dim = key_layer.shape + + key_layer = index_first_axis( + key_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), + indices_k, + ) + value_layer = index_first_axis( + value_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), + indices_k, + ) + if query_length == kv_seq_len: + query_layer = index_first_axis( + query_layer.reshape(batch_size * kv_seq_len, self.num_heads, head_dim), + indices_k, + ) + cu_seqlens_q = cu_seqlens_k + max_seqlen_in_batch_q = max_seqlen_in_batch_k + indices_q = indices_k + elif query_length == 1: + max_seqlen_in_batch_q = 1 + cu_seqlens_q = torch.arange( + batch_size + 1, dtype=torch.int32, device=query_layer.device + ) # There is a memcpy here, that is very bad. + indices_q = cu_seqlens_q[:-1] + query_layer = query_layer.squeeze(1) + else: + # The -q_len: slice assumes left padding. + attention_mask = attention_mask[:, -query_length:] + query_layer, indices_q, cu_seqlens_q, max_seqlen_in_batch_q = unpad_input( + query_layer, attention_mask + ) + + return ( + query_layer, + key_layer, + value_layer, + indices_q, + (cu_seqlens_q, cu_seqlens_k), + (max_seqlen_in_batch_q, max_seqlen_in_batch_k), + ) + + +ATTENTION_CLASSES = { + "eager": DeepseekV3Attention, + "flash_attention_2": DeepseekV3FlashAttention2, +} + + +class DeepseekV3DecoderLayer(nn.Module): + def __init__(self, config: DeepseekV3Config, layer_idx: int): + super().__init__() + self.hidden_size = config.hidden_size + + self.self_attn = ATTENTION_CLASSES[config._attn_implementation]( + config=config, layer_idx=layer_idx + ) + + self.mlp = ( + DeepseekV3MoE(config) + if ( + config.n_routed_experts is not None + and layer_idx >= config.first_k_dense_replace + and layer_idx % config.moe_layer_freq == 0 + ) + else DeepseekV3MLP(config) + ) + self.input_layernorm = DeepseekV3RMSNorm( + config.hidden_size, eps=config.rms_norm_eps + ) + self.post_attention_layernorm = DeepseekV3RMSNorm( + config.hidden_size, eps=config.rms_norm_eps + ) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: Optional[bool] = False, + use_cache: Optional[bool] = False, + **kwargs, + ) -> Tuple[ + torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]] + ]: + """ + Args: + hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` + attention_mask (`torch.FloatTensor`, *optional*): + attention mask of size `(batch_size, sequence_length)` if flash attention is used or `(batch_size, 1, + query_sequence_length, key_sequence_length)` if default attention is used. + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding + (see `past_key_values`). + past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states + """ + if "padding_mask" in kwargs: + warnings.warn( + "Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`" + ) + residual = hidden_states + + hidden_states = self.input_layernorm(hidden_states) + + # Self Attention + hidden_states, self_attn_weights, present_key_value = self.self_attn( + hidden_states=hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + **kwargs, + ) + hidden_states = residual + hidden_states + + # Fully Connected + residual = hidden_states + hidden_states = self.post_attention_layernorm(hidden_states) + hidden_states = self.mlp(hidden_states) + hidden_states = residual + hidden_states + + outputs = (hidden_states,) + + if output_attentions: + outputs += (self_attn_weights,) + + if use_cache: + outputs += (present_key_value,) + + return outputs + + +DeepseekV3_START_DOCSTRING = r""" + This model inherits from [`PreTrainedModel`]. Check the superclass documentation for the generic methods the + library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads + etc.) + + This model is also a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. + Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage + and behavior. + + Parameters: + config ([`DeepseekV3Config`]): + Model configuration class with all the parameters of the model. Initializing with a config file does not + load the weights associated with the model, only the configuration. Check out the + [`~PreTrainedModel.from_pretrained`] method to load the model weights. +""" + + +@add_start_docstrings( + "The bare DeepseekV3 Model outputting raw hidden-states without any specific head on top.", + DeepseekV3_START_DOCSTRING, +) +class DeepseekV3PreTrainedModel(PreTrainedModel): + config_class = DeepseekV3Config + base_model_prefix = "model" + supports_gradient_checkpointing = True + _no_split_modules = ["DeepseekV3DecoderLayer"] + _skip_keys_device_placement = "past_key_values" + _supports_flash_attn_2 = True + _supports_cache_class = True + + def _init_weights(self, module): + std = self.config.initializer_range + if isinstance(module, nn.Linear): + module.weight.data.normal_(mean=0.0, std=std) + if module.bias is not None: + module.bias.data.zero_() + elif isinstance(module, nn.Embedding): + module.weight.data.normal_(mean=0.0, std=std) + if module.padding_idx is not None: + module.weight.data[module.padding_idx].zero_() + + +DeepseekV3_INPUTS_DOCSTRING = r""" + Args: + input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): + Indices of input sequence tokens in the vocabulary. Padding will be ignored by default should you provide + it. + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + [What are input IDs?](../glossary#input-ids) + attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + If `past_key_values` is used, optionally only the last `input_ids` have to be input (see + `past_key_values`). + + If you want to change padding behavior, you should read [`modeling_opt._prepare_decoder_attention_mask`] + and modify to your needs. See diagram 1 in [the paper](https://arxiv.org/abs/1910.13461) for more + information on the default strategy. + + - 1 indicates the head is **not masked**, + - 0 indicates the head is **masked**. + position_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Indices of positions of each input sequence tokens in the position embeddings. Selected in the range `[0, + config.n_positions - 1]`. + + [What are position IDs?](../glossary#position-ids) + past_key_values (`Cache` or `tuple(tuple(torch.FloatTensor))`, *optional*): + Pre-computed hidden-states (key and values in the self-attention blocks and in the cross-attention + blocks) that can be used to speed up sequential decoding. This typically consists in the `past_key_values` + returned by the model at a previous stage of decoding, when `use_cache=True` or `config.use_cache=True`. + + Two formats are allowed: + - a [`~cache_utils.Cache`] instance; + - Tuple of `tuple(torch.FloatTensor)` of length `config.n_layers`, with each tuple having 2 tensors of + shape `(batch_size, num_heads, sequence_length, embed_size_per_head)`). This is also known as the legacy + cache format. + + The model will output the same cache format that is fed as input. If no `past_key_values` are passed, the + legacy cache format will be returned. + + If `past_key_values` are used, the user can optionally input only the last `input_ids` (those that don't + have their past key value states given to this model) of shape `(batch_size, 1)` instead of all `input_ids` + of shape `(batch_size, sequence_length)`. + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): + Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This + is useful if you want more control over how to convert `input_ids` indices into associated vectors than the + model's internal embedding lookup matrix. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding (see + `past_key_values`). + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under returned + tensors for more detail. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors for + more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. +""" + + +@add_start_docstrings( + "The bare DeepseekV3 Model outputting raw hidden-states without any specific head on top.", + DeepseekV3_START_DOCSTRING, +) +class DeepseekV3Model(DeepseekV3PreTrainedModel): + """ + Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`DeepseekV3DecoderLayer`] + + Args: + config: DeepseekV3Config + """ + + def __init__(self, config: DeepseekV3Config): + super().__init__(config) + self.padding_idx = config.pad_token_id + self.vocab_size = config.vocab_size + + self.embed_tokens = nn.Embedding( + config.vocab_size, config.hidden_size, self.padding_idx + ) + self.layers = nn.ModuleList( + [ + DeepseekV3DecoderLayer(config, layer_idx) + for layer_idx in range(config.num_hidden_layers) + ] + ) + self._use_flash_attention_2 = config._attn_implementation == "flash_attention_2" + self.norm = DeepseekV3RMSNorm(config.hidden_size, eps=config.rms_norm_eps) + + self.gradient_checkpointing = False + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.embed_tokens + + def set_input_embeddings(self, value): + self.embed_tokens = value + + @add_start_docstrings_to_model_forward(DeepseekV3_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPast]: + output_attentions = ( + output_attentions + if output_attentions is not None + else self.config.output_attentions + ) + output_hidden_states = ( + output_hidden_states + if output_hidden_states is not None + else self.config.output_hidden_states + ) + use_cache = use_cache if use_cache is not None else self.config.use_cache + + return_dict = ( + return_dict if return_dict is not None else self.config.use_return_dict + ) + + # retrieve input_ids and inputs_embeds + if input_ids is not None and inputs_embeds is not None: + raise ValueError( + "You cannot specify both input_ids and inputs_embeds at the same time" + ) + elif input_ids is not None: + batch_size, seq_length = input_ids.shape[:2] + elif inputs_embeds is not None: + batch_size, seq_length = inputs_embeds.shape[:2] + else: + raise ValueError("You have to specify either input_ids or inputs_embeds") + + past_key_values_length = 0 + if use_cache: + use_legacy_cache = not isinstance(past_key_values, Cache) + if use_legacy_cache: + past_key_values = DynamicCache.from_legacy_cache(past_key_values) + past_key_values_length = past_key_values.get_usable_length(seq_length) + + if position_ids is None: + device = input_ids.device if input_ids is not None else inputs_embeds.device + position_ids = torch.arange( + past_key_values_length, + seq_length + past_key_values_length, + dtype=torch.long, + device=device, + ) + position_ids = position_ids.unsqueeze(0) + + if inputs_embeds is None: + inputs_embeds = self.embed_tokens(input_ids) + + if self._use_flash_attention_2: + # 2d mask is passed through the layers + attention_mask = ( + attention_mask + if (attention_mask is not None and 0 in attention_mask) + else None + ) + else: + # 4d mask is passed through the layers + attention_mask = _prepare_4d_causal_attention_mask( + attention_mask, + (batch_size, seq_length), + inputs_embeds, + past_key_values_length, + ) + + # embed positions + hidden_states = inputs_embeds + + # decoder layers + all_hidden_states = () if output_hidden_states else None + all_self_attns = () if output_attentions else None + next_decoder_cache = None + + for decoder_layer in self.layers: + if output_hidden_states: + all_hidden_states += (hidden_states,) + + layer_outputs = decoder_layer( + hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_values, + output_attentions=output_attentions, + use_cache=use_cache, + ) + + hidden_states = layer_outputs[0] + + if use_cache: + next_decoder_cache = layer_outputs[2 if output_attentions else 1] + + if output_attentions: + all_self_attns += (layer_outputs[1],) + + hidden_states = self.norm(hidden_states) + + # add hidden states from the last decoder layer + if output_hidden_states: + all_hidden_states += (hidden_states,) + + next_cache = None + if use_cache: + next_cache = ( + next_decoder_cache.to_legacy_cache() + if use_legacy_cache + else next_decoder_cache + ) + if not return_dict: + return tuple( + v + for v in [hidden_states, next_cache, all_hidden_states, all_self_attns] + if v is not None + ) + return BaseModelOutputWithPast( + last_hidden_state=hidden_states, + past_key_values=next_cache, + hidden_states=all_hidden_states, + attentions=all_self_attns, + ) + + +class DeepseekV3ForCausalLM(DeepseekV3PreTrainedModel): + _tied_weights_keys = ["lm_head.weight"] + + def __init__(self, config): + super().__init__(config) + self.model = DeepseekV3Model(config) + self.vocab_size = config.vocab_size + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + def get_output_embeddings(self): + return self.lm_head + + def set_output_embeddings(self, new_embeddings): + self.lm_head = new_embeddings + + def set_decoder(self, decoder): + self.model = decoder + + def get_decoder(self): + return self.model + + @add_start_docstrings_to_model_forward(DeepseekV3_INPUTS_DOCSTRING) + @replace_return_docstrings( + output_type=CausalLMOutputWithPast, config_class=_CONFIG_FOR_DOC + ) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + r""" + Args: + labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Labels for computing the masked language modeling loss. Indices should either be in `[0, transformers., + config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored + (masked), the loss is only computed for the tokens with labels in `[0, transformers., config.vocab_size]`. + + Returns: + + Example: + + ```python + >>> from transformers import AutoTokenizer, DeepseekV3ForCausalLM + + >>> model = DeepseekV3ForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS) + >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER) + + >>> prompt = "Hey, are you conscious? Can you talk to me?" + >>> inputs = tokenizer(prompt, return_tensors="pt") + + >>> # Generate + >>> generate_ids = model.generate(inputs.input_ids, max_length=30) + >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + "Hey, are you conscious? Can you talk to me?\nI'm not conscious, but I can talk to you." + ```""" + output_attentions = ( + output_attentions + if output_attentions is not None + else self.config.output_attentions + ) + output_hidden_states = ( + output_hidden_states + if output_hidden_states is not None + else self.config.output_hidden_states + ) + return_dict = ( + return_dict if return_dict is not None else self.config.use_return_dict + ) + + # decoder outputs consists of (dec_features, layer_state, dec_hidden, dec_attn) + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + logits = self.lm_head(hidden_states) + logits = logits.float() + + loss = None + if labels is not None: + # Shift so that tokens < n predict n + shift_logits = logits[..., :-1, :].contiguous() + shift_labels = labels[..., 1:].contiguous() + # Flatten the tokens + loss_fct = CrossEntropyLoss() + shift_logits = shift_logits.view(-1, self.config.vocab_size) + shift_labels = shift_labels.view(-1) + # Enable model parallelism + shift_labels = shift_labels.to(shift_logits.device) + loss = loss_fct(shift_logits, shift_labels) + + if not return_dict: + output = (logits,) + outputs[1:] + return (loss,) + output if loss is not None else output + + return CausalLMOutputWithPast( + loss=loss, + logits=logits, + past_key_values=outputs.past_key_values, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) + + def prepare_inputs_for_generation( + self, + input_ids, + past_key_values=None, + attention_mask=None, + inputs_embeds=None, + **kwargs, + ): + if past_key_values is not None: + if isinstance(past_key_values, Cache): + cache_length = past_key_values.get_seq_length() + past_length = past_key_values.seen_tokens + max_cache_length = past_key_values.get_max_length() + else: + cache_length = past_length = past_key_values[0][0].shape[2] + max_cache_length = None + + # Keep only the unprocessed tokens: + # 1 - If the length of the attention_mask exceeds the length of input_ids, then we are in a setting where + # some of the inputs are exclusivelly passed as part of the cache (e.g. when passing input_embeds as + # input) + if ( + attention_mask is not None + and attention_mask.shape[1] > input_ids.shape[1] + ): + input_ids = input_ids[:, -(attention_mask.shape[1] - past_length) :] + # 2 - If the past_length is smaller than input_ids', then input_ids holds all input tokens. We can discard + # input_ids based on the past_length. + elif past_length < input_ids.shape[1]: + input_ids = input_ids[:, past_length:] + # 3 - Otherwise (past_length >= input_ids.shape[1]), let's assume input_ids only has unprocessed tokens. + + # If we are about to go beyond the maximum cache length, we need to crop the input attention mask. + if ( + max_cache_length is not None + and attention_mask is not None + and cache_length + input_ids.shape[1] > max_cache_length + ): + attention_mask = attention_mask[:, -max_cache_length:] + + position_ids = kwargs.get("position_ids", None) + if attention_mask is not None and position_ids is None: + # create position_ids on the fly for batch generation + position_ids = attention_mask.long().cumsum(-1) - 1 + position_ids.masked_fill_(attention_mask == 0, 1) + if past_key_values: + position_ids = position_ids[:, -input_ids.shape[1] :] + + # if `inputs_embeds` are passed, we only want to use them in the 1st generation step + if inputs_embeds is not None and past_key_values is None: + model_inputs = {"inputs_embeds": inputs_embeds} + else: + model_inputs = {"input_ids": input_ids} + + model_inputs.update( + { + "position_ids": position_ids, + "past_key_values": past_key_values, + "use_cache": kwargs.get("use_cache"), + "attention_mask": attention_mask, + } + ) + return model_inputs + + @staticmethod + def _reorder_cache(past_key_values, beam_idx): + reordered_past = () + for layer_past in past_key_values: + reordered_past += ( + tuple( + past_state.index_select(0, beam_idx.to(past_state.device)) + for past_state in layer_past + ), + ) + return reordered_past + + +@add_start_docstrings( + """ + The DeepseekV3 Model transformer with a sequence classification head on top (linear layer). + + [`DeepseekV3ForSequenceClassification`] uses the last token in order to do the classification, as other causal models + (e.g. GPT-2) do. + + Since it does classification on the last token, it requires to know the position of the last token. If a + `pad_token_id` is defined in the configuration, it finds the last token that is not a padding token in each row. If + no `pad_token_id` is defined, it simply takes the last value in each row of the batch. Since it cannot guess the + padding tokens when `inputs_embeds` are passed instead of `input_ids`, it does the same (take the last value in + each row of the batch). + """, + DeepseekV3_START_DOCSTRING, +) +class DeepseekV3ForSequenceClassification(DeepseekV3PreTrainedModel): + def __init__(self, config): + super().__init__(config) + self.num_labels = config.num_labels + self.model = DeepseekV3Model(config) + self.score = nn.Linear(config.hidden_size, self.num_labels, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + @add_start_docstrings_to_model_forward(DeepseekV3_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, SequenceClassifierOutputWithPast]: + r""" + labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): + Labels for computing the sequence classification/regression loss. Indices should be in `[0, transformers., + config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If + `config.num_labels > 1` a classification loss is computed (Cross-Entropy). + """ + return_dict = ( + return_dict if return_dict is not None else self.config.use_return_dict + ) + + transformer_outputs = self.model( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + hidden_states = transformer_outputs[0] + logits = self.score(hidden_states) + + if input_ids is not None: + batch_size = input_ids.shape[0] + else: + batch_size = inputs_embeds.shape[0] + + if self.config.pad_token_id is None and batch_size != 1: + raise ValueError( + "Cannot handle batch sizes > 1 if no padding token is defined." + ) + if self.config.pad_token_id is None: + sequence_lengths = -1 + else: + if input_ids is not None: + sequence_lengths = ( + torch.eq(input_ids, self.config.pad_token_id).int().argmax(-1) - 1 + ).to(logits.device) + else: + sequence_lengths = -1 + + pooled_logits = logits[ + torch.arange(batch_size, device=logits.device), sequence_lengths + ] + + loss = None + if labels is not None: + labels = labels.to(logits.device) + if self.config.problem_type is None: + if self.num_labels == 1: + self.config.problem_type = "regression" + elif self.num_labels > 1 and ( + labels.dtype == torch.long or labels.dtype == torch.int + ): + self.config.problem_type = "single_label_classification" + else: + self.config.problem_type = "multi_label_classification" + + if self.config.problem_type == "regression": + loss_fct = MSELoss() + if self.num_labels == 1: + loss = loss_fct(pooled_logits.squeeze(), labels.squeeze()) + else: + loss = loss_fct(pooled_logits, labels) + elif self.config.problem_type == "single_label_classification": + loss_fct = CrossEntropyLoss() + loss = loss_fct( + pooled_logits.view(-1, self.num_labels), labels.view(-1) + ) + elif self.config.problem_type == "multi_label_classification": + loss_fct = BCEWithLogitsLoss() + loss = loss_fct(pooled_logits, labels) + if not return_dict: + output = (pooled_logits,) + transformer_outputs[1:] + return ((loss,) + output) if loss is not None else output + + return SequenceClassifierOutputWithPast( + loss=loss, + logits=pooled_logits, + past_key_values=transformer_outputs.past_key_values, + hidden_states=transformer_outputs.hidden_states, + attentions=transformer_outputs.attentions, + ) diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..76ed2f8 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,23 @@ +{ + "bos_token": { + "content": "<｜begin▁of▁sentence｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<｜end▁of▁sentence｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "<｜▁pad▁｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..0586ef5 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a59031bae85a334b70c9f91582c76b3b11a9c7f7500c62a820f3f9433f92e877 +size 9977256 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..cec3b66 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,6564 @@ +{ + "add_bos_token": true, + "add_eos_token": false, + "add_prefix_space": null, + "added_tokens_decoder": { + "0": { + "content": "<｜begin▁of▁sentence｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "<｜end▁of▁sentence｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "<｜▁pad▁｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128000": { + "content": "<｜place▁holder▁no▁0｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128001": { + "content": "<｜place▁holder▁no▁1｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128002": { + "content": "<｜place▁holder▁no▁2｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128003": { + "content": "<｜place▁holder▁no▁3｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128004": { + "content": "<｜place▁holder▁no▁4｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128005": { + "content": "<｜place▁holder▁no▁5｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128006": { + "content": "<｜place▁holder▁no▁6｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128007": { + "content": "<｜place▁holder▁no▁7｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128008": { + "content": "<｜place▁holder▁no▁8｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128009": { + "content": "<｜place▁holder▁no▁9｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128010": { + "content": "<｜place▁holder▁no▁10｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128011": { + "content": "<｜place▁holder▁no▁11｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128012": { + "content": "<｜place▁holder▁no▁12｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128013": { + "content": "<｜place▁holder▁no▁13｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128014": { + "content": "<｜place▁holder▁no▁14｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128015": { + "content": "<｜place▁holder▁no▁15｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128016": { + "content": "<｜place▁holder▁no▁16｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128017": { + "content": "<｜place▁holder▁no▁17｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128018": { + "content": "<｜place▁holder▁no▁18｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128019": { + "content": "<｜place▁holder▁no▁19｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128020": { + "content": "<｜place▁holder▁no▁20｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128021": { + "content": "<｜place▁holder▁no▁21｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128022": { + "content": "<｜place▁holder▁no▁22｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128023": { + "content": "<｜place▁holder▁no▁23｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128024": { + "content": "<｜place▁holder▁no▁24｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128025": { + "content": "<｜place▁holder▁no▁25｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128026": { + "content": "<｜place▁holder▁no▁26｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128027": { + "content": "<｜place▁holder▁no▁27｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128028": { + "content": "<｜place▁holder▁no▁28｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128029": { + "content": "<｜place▁holder▁no▁29｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128030": { + "content": "<｜place▁holder▁no▁30｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128031": { + "content": "<｜place▁holder▁no▁31｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128032": { + "content": "<｜place▁holder▁no▁32｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128033": { + "content": "<｜place▁holder▁no▁33｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128034": { + "content": "<｜place▁holder▁no▁34｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128035": { + "content": "<｜place▁holder▁no▁35｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128036": { + "content": "<｜place▁holder▁no▁36｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128037": { + "content": "<｜place▁holder▁no▁37｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128038": { + "content": "<｜place▁holder▁no▁38｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128039": { + "content": "<｜place▁holder▁no▁39｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128040": { + "content": "<｜place▁holder▁no▁40｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128041": { + "content": "<｜place▁holder▁no▁41｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128042": { + "content": "<｜place▁holder▁no▁42｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128043": { + "content": "<｜place▁holder▁no▁43｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128044": { + "content": "<｜place▁holder▁no▁44｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128045": { + "content": "<｜place▁holder▁no▁45｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128046": { + "content": "<｜place▁holder▁no▁46｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128047": { + "content": "<｜place▁holder▁no▁47｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128048": { + "content": "<｜place▁holder▁no▁48｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128049": { + "content": "<｜place▁holder▁no▁49｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128050": { + "content": "<｜place▁holder▁no▁50｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128051": { + "content": "<｜place▁holder▁no▁51｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128052": { + "content": "<｜place▁holder▁no▁52｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128053": { + "content": "<｜place▁holder▁no▁53｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128054": { + "content": "<｜place▁holder▁no▁54｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128055": { + "content": "<｜place▁holder▁no▁55｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128056": { + "content": "<｜place▁holder▁no▁56｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128057": { + "content": "<｜place▁holder▁no▁57｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128058": { + "content": "<｜place▁holder▁no▁58｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128059": { + "content": "<｜place▁holder▁no▁59｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128060": { + "content": "<｜place▁holder▁no▁60｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128061": { + "content": "<｜place▁holder▁no▁61｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128062": { + "content": "<｜place▁holder▁no▁62｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128063": { + "content": "<｜place▁holder▁no▁63｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128064": { + "content": "<｜place▁holder▁no▁64｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128065": { + "content": "<｜place▁holder▁no▁65｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128066": { + "content": "<｜place▁holder▁no▁66｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128067": { + "content": "<｜place▁holder▁no▁67｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128068": { + "content": "<｜place▁holder▁no▁68｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128069": { + "content": "<｜place▁holder▁no▁69｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128070": { + "content": "<｜place▁holder▁no▁70｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128071": { + "content": "<｜place▁holder▁no▁71｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128072": { + "content": "<｜place▁holder▁no▁72｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128073": { + "content": "<｜place▁holder▁no▁73｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128074": { + "content": "<｜place▁holder▁no▁74｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128075": { + "content": "<｜place▁holder▁no▁75｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128076": { + "content": "<｜place▁holder▁no▁76｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128077": { + "content": "<｜place▁holder▁no▁77｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128078": { + "content": "<｜place▁holder▁no▁78｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128079": { + "content": "<｜place▁holder▁no▁79｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128080": { + "content": "<｜place▁holder▁no▁80｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128081": { + "content": "<｜place▁holder▁no▁81｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128082": { + "content": "<｜place▁holder▁no▁82｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128083": { + "content": "<｜place▁holder▁no▁83｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128084": { + "content": "<｜place▁holder▁no▁84｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128085": { + "content": "<｜place▁holder▁no▁85｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128086": { + "content": "<｜place▁holder▁no▁86｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128087": { + "content": "<｜place▁holder▁no▁87｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128088": { + "content": "<｜place▁holder▁no▁88｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128089": { + "content": "<｜place▁holder▁no▁89｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128090": { + "content": "<｜place▁holder▁no▁90｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128091": { + "content": "<｜place▁holder▁no▁91｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128092": { + "content": "<｜place▁holder▁no▁92｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128093": { + "content": "<｜place▁holder▁no▁93｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128094": { + "content": "<｜place▁holder▁no▁94｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128095": { + "content": "<｜place▁holder▁no▁95｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128096": { + "content": "<｜place▁holder▁no▁96｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128097": { + "content": "<｜place▁holder▁no▁97｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128098": { + "content": "<｜place▁holder▁no▁98｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128099": { + "content": "<｜place▁holder▁no▁99｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128100": { + "content": "<｜place▁holder▁no▁100｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128101": { + "content": "<｜place▁holder▁no▁101｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128102": { + "content": "<｜place▁holder▁no▁102｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128103": { + "content": "<｜place▁holder▁no▁103｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128104": { + "content": "<｜place▁holder▁no▁104｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128105": { + "content": "<｜place▁holder▁no▁105｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128106": { + "content": "<｜place▁holder▁no▁106｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128107": { + "content": "<｜place▁holder▁no▁107｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128108": { + "content": "<｜place▁holder▁no▁108｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128109": { + "content": "<｜place▁holder▁no▁109｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128110": { + "content": "<｜place▁holder▁no▁110｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128111": { + "content": "<｜place▁holder▁no▁111｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128112": { + "content": "<｜place▁holder▁no▁112｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128113": { + "content": "<｜place▁holder▁no▁113｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128114": { + "content": "<｜place▁holder▁no▁114｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128115": { + "content": "<｜place▁holder▁no▁115｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128116": { + "content": "<｜place▁holder▁no▁116｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128117": { + "content": "<｜place▁holder▁no▁117｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128118": { + "content": "<｜place▁holder▁no▁118｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128119": { + "content": "<｜place▁holder▁no▁119｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128120": { + "content": "<｜place▁holder▁no▁120｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128121": { + "content": "<｜place▁holder▁no▁121｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128122": { + "content": "<｜place▁holder▁no▁122｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128123": { + "content": "<｜place▁holder▁no▁123｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128124": { + "content": "<｜place▁holder▁no▁124｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128125": { + "content": "<｜place▁holder▁no▁125｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128126": { + "content": "<｜place▁holder▁no▁126｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128127": { + "content": "<｜place▁holder▁no▁127｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128128": { + "content": "<｜place▁holder▁no▁128｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128129": { + "content": "<｜place▁holder▁no▁129｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128130": { + "content": "<｜place▁holder▁no▁130｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128131": { + "content": "<｜place▁holder▁no▁131｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128132": { + "content": "<｜place▁holder▁no▁132｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128133": { + "content": "<｜place▁holder▁no▁133｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128134": { + "content": "<｜place▁holder▁no▁134｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128135": { + "content": "<｜place▁holder▁no▁135｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128136": { + "content": "<｜place▁holder▁no▁136｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128137": { + "content": "<｜place▁holder▁no▁137｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128138": { + "content": "<｜place▁holder▁no▁138｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128139": { + "content": "<｜place▁holder▁no▁139｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128140": { + "content": "<｜place▁holder▁no▁140｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128141": { + "content": "<｜place▁holder▁no▁141｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128142": { + "content": "<｜place▁holder▁no▁142｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128143": { + "content": "<｜place▁holder▁no▁143｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128144": { + "content": "<｜place▁holder▁no▁144｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128145": { + "content": "<｜place▁holder▁no▁145｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128146": { + "content": "<｜place▁holder▁no▁146｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128147": { + "content": "<｜place▁holder▁no▁147｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128148": { + "content": "<｜place▁holder▁no▁148｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128149": { + "content": "<｜place▁holder▁no▁149｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128150": { + "content": "<｜place▁holder▁no▁150｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128151": { + "content": "<｜place▁holder▁no▁151｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128152": { + "content": "<｜place▁holder▁no▁152｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128153": { + "content": "<｜place▁holder▁no▁153｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128154": { + "content": "<｜place▁holder▁no▁154｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128155": { + "content": "<｜place▁holder▁no▁155｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128156": { + "content": "<｜place▁holder▁no▁156｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128157": { + "content": "<｜place▁holder▁no▁157｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128158": { + "content": "<｜place▁holder▁no▁158｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128159": { + "content": "<｜place▁holder▁no▁159｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128160": { + "content": "<｜place▁holder▁no▁160｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128161": { + "content": "<｜place▁holder▁no▁161｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128162": { + "content": "<｜place▁holder▁no▁162｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128163": { + "content": "<｜place▁holder▁no▁163｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128164": { + "content": "<｜place▁holder▁no▁164｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128165": { + "content": "<｜place▁holder▁no▁165｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128166": { + "content": "<｜place▁holder▁no▁166｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128167": { + "content": "<｜place▁holder▁no▁167｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128168": { + "content": "<｜place▁holder▁no▁168｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128169": { + "content": "<｜place▁holder▁no▁169｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128170": { + "content": "<｜place▁holder▁no▁170｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128171": { + "content": "<｜place▁holder▁no▁171｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128172": { + "content": "<｜place▁holder▁no▁172｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128173": { + "content": "<｜place▁holder▁no▁173｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128174": { + "content": "<｜place▁holder▁no▁174｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128175": { + "content": "<｜place▁holder▁no▁175｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128176": { + "content": "<｜place▁holder▁no▁176｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128177": { + "content": "<｜place▁holder▁no▁177｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128178": { + "content": "<｜place▁holder▁no▁178｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128179": { + "content": "<｜place▁holder▁no▁179｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128180": { + "content": "<｜place▁holder▁no▁180｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128181": { + "content": "<｜place▁holder▁no▁181｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128182": { + "content": "<｜place▁holder▁no▁182｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128183": { + "content": "<｜place▁holder▁no▁183｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128184": { + "content": "<｜place▁holder▁no▁184｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128185": { + "content": "<｜place▁holder▁no▁185｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128186": { + "content": "<｜place▁holder▁no▁186｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128187": { + "content": "<｜place▁holder▁no▁187｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128188": { + "content": "<｜place▁holder▁no▁188｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128189": { + "content": "<｜place▁holder▁no▁189｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128190": { + "content": "<｜place▁holder▁no▁190｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128191": { + "content": "<｜place▁holder▁no▁191｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128192": { + "content": "<｜place▁holder▁no▁192｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128193": { + "content": "<｜place▁holder▁no▁193｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128194": { + "content": "<｜place▁holder▁no▁194｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128195": { + "content": "<｜place▁holder▁no▁195｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128196": { + "content": "<｜place▁holder▁no▁196｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128197": { + "content": "<｜place▁holder▁no▁197｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128198": { + "content": "<｜place▁holder▁no▁198｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128199": { + "content": "<｜place▁holder▁no▁199｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128200": { + "content": "<｜place▁holder▁no▁200｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128201": { + "content": "<｜place▁holder▁no▁201｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128202": { + "content": "<｜place▁holder▁no▁202｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128203": { + "content": "<｜place▁holder▁no▁203｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128204": { + "content": "<｜place▁holder▁no▁204｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128205": { + "content": "<｜place▁holder▁no▁205｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128206": { + "content": "<｜place▁holder▁no▁206｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128207": { + "content": "<｜place▁holder▁no▁207｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128208": { + "content": "<｜place▁holder▁no▁208｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128209": { + "content": "<｜place▁holder▁no▁209｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128210": { + "content": "<｜place▁holder▁no▁210｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128211": { + "content": "<｜place▁holder▁no▁211｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128212": { + "content": "<｜place▁holder▁no▁212｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128213": { + "content": "<｜place▁holder▁no▁213｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128214": { + "content": "<｜place▁holder▁no▁214｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128215": { + "content": "<｜place▁holder▁no▁215｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128216": { + "content": "<｜place▁holder▁no▁216｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128217": { + "content": "<｜place▁holder▁no▁217｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128218": { + "content": "<｜place▁holder▁no▁218｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128219": { + "content": "<｜place▁holder▁no▁219｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128220": { + "content": "<｜place▁holder▁no▁220｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128221": { + "content": "<｜place▁holder▁no▁221｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128222": { + "content": "<｜place▁holder▁no▁222｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128223": { + "content": "<｜place▁holder▁no▁223｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128224": { + "content": "<｜place▁holder▁no▁224｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128225": { + "content": "<｜place▁holder▁no▁225｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128226": { + "content": "<｜place▁holder▁no▁226｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128227": { + "content": "<｜place▁holder▁no▁227｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128228": { + "content": "<｜place▁holder▁no▁228｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128229": { + "content": "<｜place▁holder▁no▁229｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128230": { + "content": "<｜place▁holder▁no▁230｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128231": { + "content": "<｜place▁holder▁no▁231｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128232": { + "content": "<｜place▁holder▁no▁232｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128233": { + "content": "<｜place▁holder▁no▁233｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128234": { + "content": "<｜place▁holder▁no▁234｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128235": { + "content": "<｜place▁holder▁no▁235｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128236": { + "content": "<｜place▁holder▁no▁236｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128237": { + "content": "<｜place▁holder▁no▁237｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128238": { + "content": "<｜place▁holder▁no▁238｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128239": { + "content": "<｜place▁holder▁no▁239｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128240": { + "content": "<｜place▁holder▁no▁240｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128241": { + "content": "<｜place▁holder▁no▁241｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128242": { + "content": "<｜place▁holder▁no▁242｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128243": { + "content": "<｜place▁holder▁no▁243｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128244": { + "content": "<｜place▁holder▁no▁244｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128245": { + "content": "<｜place▁holder▁no▁245｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128246": { + "content": "<｜place▁holder▁no▁246｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128247": { + "content": "<｜place▁holder▁no▁247｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128248": { + "content": "<｜place▁holder▁no▁248｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128249": { + "content": "<｜place▁holder▁no▁249｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128250": { + "content": "<｜place▁holder▁no▁250｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128251": { + "content": "<｜place▁holder▁no▁251｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128252": { + "content": "<｜place▁holder▁no▁252｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128253": { + "content": "<｜place▁holder▁no▁253｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128254": { + "content": "<｜place▁holder▁no▁254｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128255": { + "content": "<｜place▁holder▁no▁255｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128256": { + "content": "<｜place▁holder▁no▁256｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128257": { + "content": "<｜place▁holder▁no▁257｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128258": { + "content": "<｜place▁holder▁no▁258｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128259": { + "content": "<｜place▁holder▁no▁259｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128260": { + "content": "<｜place▁holder▁no▁260｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128261": { + "content": "<｜place▁holder▁no▁261｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128262": { + "content": "<｜place▁holder▁no▁262｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128263": { + "content": "<｜place▁holder▁no▁263｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128264": { + "content": "<｜place▁holder▁no▁264｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128265": { + "content": "<｜place▁holder▁no▁265｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128266": { + "content": "<｜place▁holder▁no▁266｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128267": { + "content": "<｜place▁holder▁no▁267｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128268": { + "content": "<｜place▁holder▁no▁268｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128269": { + "content": "<｜place▁holder▁no▁269｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128270": { + "content": "<｜place▁holder▁no▁270｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128271": { + "content": "<｜place▁holder▁no▁271｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128272": { + "content": "<｜place▁holder▁no▁272｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128273": { + "content": "<｜place▁holder▁no▁273｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128274": { + "content": "<｜place▁holder▁no▁274｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128275": { + "content": "<｜place▁holder▁no▁275｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128276": { + "content": "<｜place▁holder▁no▁276｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128277": { + "content": "<｜place▁holder▁no▁277｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128278": { + "content": "<｜place▁holder▁no▁278｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128279": { + "content": "<｜place▁holder▁no▁279｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128280": { + "content": "<｜place▁holder▁no▁280｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128281": { + "content": "<｜place▁holder▁no▁281｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128282": { + "content": "<｜place▁holder▁no▁282｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128283": { + "content": "<｜place▁holder▁no▁283｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128284": { + "content": "<｜place▁holder▁no▁284｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128285": { + "content": "<｜place▁holder▁no▁285｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128286": { + "content": "<｜place▁holder▁no▁286｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128287": { + "content": "<｜place▁holder▁no▁287｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128288": { + "content": "<｜place▁holder▁no▁288｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128289": { + "content": "<｜place▁holder▁no▁289｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128290": { + "content": "<｜place▁holder▁no▁290｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128291": { + "content": "<｜place▁holder▁no▁291｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128292": { + "content": "<｜place▁holder▁no▁292｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128293": { + "content": "<｜place▁holder▁no▁293｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128294": { + "content": "<｜place▁holder▁no▁294｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128295": { + "content": "<｜place▁holder▁no▁295｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128296": { + "content": "<｜place▁holder▁no▁296｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128297": { + "content": "<｜place▁holder▁no▁297｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128298": { + "content": "<｜place▁holder▁no▁298｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128299": { + "content": "<｜place▁holder▁no▁299｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128300": { + "content": "<｜place▁holder▁no▁300｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128301": { + "content": "<｜place▁holder▁no▁301｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128302": { + "content": "<｜place▁holder▁no▁302｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128303": { + "content": "<｜place▁holder▁no▁303｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128304": { + "content": "<｜place▁holder▁no▁304｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128305": { + "content": "<｜place▁holder▁no▁305｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128306": { + "content": "<｜place▁holder▁no▁306｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128307": { + "content": "<｜place▁holder▁no▁307｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128308": { + "content": "<｜place▁holder▁no▁308｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128309": { + "content": "<｜place▁holder▁no▁309｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128310": { + "content": "<｜place▁holder▁no▁310｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128311": { + "content": "<｜place▁holder▁no▁311｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128312": { + "content": "<｜place▁holder▁no▁312｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128313": { + "content": "<｜place▁holder▁no▁313｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128314": { + "content": "<｜place▁holder▁no▁314｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128315": { + "content": "<｜place▁holder▁no▁315｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128316": { + "content": "<｜place▁holder▁no▁316｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128317": { + "content": "<｜place▁holder▁no▁317｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128318": { + "content": "<｜place▁holder▁no▁318｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128319": { + "content": "<｜place▁holder▁no▁319｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128320": { + "content": "<｜place▁holder▁no▁320｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128321": { + "content": "<｜place▁holder▁no▁321｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128322": { + "content": "<｜place▁holder▁no▁322｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128323": { + "content": "<｜place▁holder▁no▁323｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128324": { + "content": "<｜place▁holder▁no▁324｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128325": { + "content": "<｜place▁holder▁no▁325｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128326": { + "content": "<｜place▁holder▁no▁326｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128327": { + "content": "<｜place▁holder▁no▁327｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128328": { + "content": "<｜place▁holder▁no▁328｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128329": { + "content": "<｜place▁holder▁no▁329｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128330": { + "content": "<｜place▁holder▁no▁330｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128331": { + "content": "<｜place▁holder▁no▁331｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128332": { + "content": "<｜place▁holder▁no▁332｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128333": { + "content": "<｜place▁holder▁no▁333｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128334": { + "content": "<｜place▁holder▁no▁334｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128335": { + "content": "<｜place▁holder▁no▁335｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128336": { + "content": "<｜place▁holder▁no▁336｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128337": { + "content": "<｜place▁holder▁no▁337｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128338": { + "content": "<｜place▁holder▁no▁338｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128339": { + "content": "<｜place▁holder▁no▁339｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128340": { + "content": "<｜place▁holder▁no▁340｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128341": { + "content": "<｜place▁holder▁no▁341｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128342": { + "content": "<｜place▁holder▁no▁342｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128343": { + "content": "<｜place▁holder▁no▁343｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128344": { + "content": "<｜place▁holder▁no▁344｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128345": { + "content": "<｜place▁holder▁no▁345｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128346": { + "content": "<｜place▁holder▁no▁346｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128347": { + "content": "<｜place▁holder▁no▁347｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128348": { + "content": "<｜place▁holder▁no▁348｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128349": { + "content": "<｜place▁holder▁no▁349｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128350": { + "content": "<｜place▁holder▁no▁350｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128351": { + "content": "<｜place▁holder▁no▁351｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128352": { + "content": "<｜place▁holder▁no▁352｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128353": { + "content": "<｜place▁holder▁no▁353｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128354": { + "content": "<｜place▁holder▁no▁354｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128355": { + "content": "<｜place▁holder▁no▁355｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128356": { + "content": "<｜place▁holder▁no▁356｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128357": { + "content": "<｜place▁holder▁no▁357｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128358": { + "content": "<｜place▁holder▁no▁358｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128359": { + "content": "<｜place▁holder▁no▁359｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128360": { + "content": "<｜place▁holder▁no▁360｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128361": { + "content": "<｜place▁holder▁no▁361｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128362": { + "content": "<｜place▁holder▁no▁362｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128363": { + "content": "<｜place▁holder▁no▁363｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128364": { + "content": "<｜place▁holder▁no▁364｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128365": { + "content": "<｜place▁holder▁no▁365｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128366": { + "content": "<｜place▁holder▁no▁366｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128367": { + "content": "<｜place▁holder▁no▁367｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128368": { + "content": "<｜place▁holder▁no▁368｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128369": { + "content": "<｜place▁holder▁no▁369｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128370": { + "content": "<｜place▁holder▁no▁370｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128371": { + "content": "<｜place▁holder▁no▁371｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128372": { + "content": "<｜place▁holder▁no▁372｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128373": { + "content": "<｜place▁holder▁no▁373｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128374": { + "content": "<｜place▁holder▁no▁374｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128375": { + "content": "<｜place▁holder▁no▁375｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128376": { + "content": "<｜place▁holder▁no▁376｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128377": { + "content": "<｜place▁holder▁no▁377｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128378": { + "content": "<｜place▁holder▁no▁378｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128379": { + "content": "<｜place▁holder▁no▁379｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128380": { + "content": "<｜place▁holder▁no▁380｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128381": { + "content": "<｜place▁holder▁no▁381｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128382": { + "content": "<｜place▁holder▁no▁382｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128383": { + "content": "<｜place▁holder▁no▁383｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128384": { + "content": "<｜place▁holder▁no▁384｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128385": { + "content": "<｜place▁holder▁no▁385｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128386": { + "content": "<｜place▁holder▁no▁386｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128387": { + "content": "<｜place▁holder▁no▁387｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128388": { + "content": "<｜place▁holder▁no▁388｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128389": { + "content": "<｜place▁holder▁no▁389｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128390": { + "content": "<｜place▁holder▁no▁390｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128391": { + "content": "<｜place▁holder▁no▁391｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128392": { + "content": "<｜place▁holder▁no▁392｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128393": { + "content": "<｜place▁holder▁no▁393｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128394": { + "content": "<｜place▁holder▁no▁394｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128395": { + "content": "<｜place▁holder▁no▁395｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128396": { + "content": "<｜place▁holder▁no▁396｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128397": { + "content": "<｜place▁holder▁no▁397｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128398": { + "content": "<｜place▁holder▁no▁398｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128399": { + "content": "<｜place▁holder▁no▁399｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128400": { + "content": "<｜place▁holder▁no▁400｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128401": { + "content": "<｜place▁holder▁no▁401｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128402": { + "content": "<｜place▁holder▁no▁402｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128403": { + "content": "<｜place▁holder▁no▁403｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128404": { + "content": "<｜place▁holder▁no▁404｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128405": { + "content": "<｜place▁holder▁no▁405｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128406": { + "content": "<｜place▁holder▁no▁406｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128407": { + "content": "<｜place▁holder▁no▁407｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128408": { + "content": "<｜place▁holder▁no▁408｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128409": { + "content": "<｜place▁holder▁no▁409｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128410": { + "content": "<｜place▁holder▁no▁410｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128411": { + "content": "<｜place▁holder▁no▁411｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128412": { + "content": "<｜place▁holder▁no▁412｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128413": { + "content": "<｜place▁holder▁no▁413｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128414": { + "content": "<｜place▁holder▁no▁414｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128415": { + "content": "<｜place▁holder▁no▁415｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128416": { + "content": "<｜place▁holder▁no▁416｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128417": { + "content": "<｜place▁holder▁no▁417｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128418": { + "content": "<｜place▁holder▁no▁418｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128419": { + "content": "<｜place▁holder▁no▁419｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128420": { + "content": "<｜place▁holder▁no▁420｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128421": { + "content": "<｜place▁holder▁no▁421｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128422": { + "content": "<｜place▁holder▁no▁422｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128423": { + "content": "<｜place▁holder▁no▁423｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128424": { + "content": "<｜place▁holder▁no▁424｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128425": { + "content": "<｜place▁holder▁no▁425｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128426": { + "content": "<｜place▁holder▁no▁426｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128427": { + "content": "<｜place▁holder▁no▁427｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128428": { + "content": "<｜place▁holder▁no▁428｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128429": { + "content": "<｜place▁holder▁no▁429｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128430": { + "content": "<｜place▁holder▁no▁430｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128431": { + "content": "<｜place▁holder▁no▁431｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128432": { + "content": "<｜place▁holder▁no▁432｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128433": { + "content": "<｜place▁holder▁no▁433｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128434": { + "content": "<｜place▁holder▁no▁434｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128435": { + "content": "<｜place▁holder▁no▁435｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128436": { + "content": "<｜place▁holder▁no▁436｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128437": { + "content": "<｜place▁holder▁no▁437｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128438": { + "content": "<｜place▁holder▁no▁438｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128439": { + "content": "<｜place▁holder▁no▁439｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128440": { + "content": "<｜place▁holder▁no▁440｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128441": { + "content": "<｜place▁holder▁no▁441｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128442": { + "content": "<｜place▁holder▁no▁442｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128443": { + "content": "<｜place▁holder▁no▁443｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128444": { + "content": "<｜place▁holder▁no▁444｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128445": { + "content": "<｜place▁holder▁no▁445｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128446": { + "content": "<｜place▁holder▁no▁446｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128447": { + "content": "<｜place▁holder▁no▁447｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128448": { + "content": "<｜place▁holder▁no▁448｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128449": { + "content": "<｜place▁holder▁no▁449｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128450": { + "content": "<｜place▁holder▁no▁450｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128451": { + "content": "<｜place▁holder▁no▁451｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128452": { + "content": "<｜place▁holder▁no▁452｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128453": { + "content": "<｜place▁holder▁no▁453｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128454": { + "content": "<｜place▁holder▁no▁454｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128455": { + "content": "<｜place▁holder▁no▁455｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128456": { + "content": "<｜place▁holder▁no▁456｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128457": { + "content": "<｜place▁holder▁no▁457｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128458": { + "content": "<｜place▁holder▁no▁458｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128459": { + "content": "<｜place▁holder▁no▁459｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128460": { + "content": "<｜place▁holder▁no▁460｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128461": { + "content": "<｜place▁holder▁no▁461｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128462": { + "content": "<｜place▁holder▁no▁462｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128463": { + "content": "<｜place▁holder▁no▁463｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128464": { + "content": "<｜place▁holder▁no▁464｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128465": { + "content": "<｜place▁holder▁no▁465｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128466": { + "content": "<｜place▁holder▁no▁466｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128467": { + "content": "<｜place▁holder▁no▁467｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128468": { + "content": "<｜place▁holder▁no▁468｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128469": { + "content": "<｜place▁holder▁no▁469｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128470": { + "content": "<｜place▁holder▁no▁470｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128471": { + "content": "<｜place▁holder▁no▁471｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128472": { + "content": "<｜place▁holder▁no▁472｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128473": { + "content": "<｜place▁holder▁no▁473｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128474": { + "content": "<｜place▁holder▁no▁474｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128475": { + "content": "<｜place▁holder▁no▁475｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128476": { + "content": "<｜place▁holder▁no▁476｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128477": { + "content": "<｜place▁holder▁no▁477｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128478": { + "content": "<｜place▁holder▁no▁478｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128479": { + "content": "<｜place▁holder▁no▁479｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128480": { + "content": "<｜place▁holder▁no▁480｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128481": { + "content": "<｜place▁holder▁no▁481｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128482": { + "content": "<｜place▁holder▁no▁482｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128483": { + "content": "<｜place▁holder▁no▁483｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128484": { + "content": "<｜place▁holder▁no▁484｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128485": { + "content": "<｜place▁holder▁no▁485｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128486": { + "content": "<｜place▁holder▁no▁486｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128487": { + "content": "<｜place▁holder▁no▁487｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128488": { + "content": "<｜place▁holder▁no▁488｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128489": { + "content": "<｜place▁holder▁no▁489｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128490": { + "content": "<｜place▁holder▁no▁490｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128491": { + "content": "<｜place▁holder▁no▁491｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128492": { + "content": "<｜place▁holder▁no▁492｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128493": { + "content": "<｜place▁holder▁no▁493｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128494": { + "content": "<｜place▁holder▁no▁494｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128495": { + "content": "<｜place▁holder▁no▁495｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128496": { + "content": "<｜place▁holder▁no▁496｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128497": { + "content": "<｜place▁holder▁no▁497｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128498": { + "content": "<｜place▁holder▁no▁498｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128499": { + "content": "<｜place▁holder▁no▁499｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128500": { + "content": "<｜place▁holder▁no▁500｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128501": { + "content": "<｜place▁holder▁no▁501｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128502": { + "content": "<｜place▁holder▁no▁502｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128503": { + "content": "<｜place▁holder▁no▁503｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128504": { + "content": "<｜place▁holder▁no▁504｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128505": { + "content": "<｜place▁holder▁no▁505｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128506": { + "content": "<｜place▁holder▁no▁506｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128507": { + "content": "<｜place▁holder▁no▁507｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128508": { + "content": "<｜place▁holder▁no▁508｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128509": { + "content": "<｜place▁holder▁no▁509｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128510": { + "content": "<｜place▁holder▁no▁510｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128511": { + "content": "<｜place▁holder▁no▁511｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128512": { + "content": "<｜place▁holder▁no▁512｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128513": { + "content": "<｜place▁holder▁no▁513｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128514": { + "content": "<｜place▁holder▁no▁514｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128515": { + "content": "<｜place▁holder▁no▁515｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128516": { + "content": "<｜place▁holder▁no▁516｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128517": { + "content": "<｜place▁holder▁no▁517｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128518": { + "content": "<｜place▁holder▁no▁518｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128519": { + "content": "<｜place▁holder▁no▁519｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128520": { + "content": "<｜place▁holder▁no▁520｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128521": { + "content": "<｜place▁holder▁no▁521｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128522": { + "content": "<｜place▁holder▁no▁522｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128523": { + "content": "<｜place▁holder▁no▁523｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128524": { + "content": "<｜place▁holder▁no▁524｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128525": { + "content": "<｜place▁holder▁no▁525｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128526": { + "content": "<｜place▁holder▁no▁526｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128527": { + "content": "<｜place▁holder▁no▁527｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128528": { + "content": "<｜place▁holder▁no▁528｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128529": { + "content": "<｜place▁holder▁no▁529｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128530": { + "content": "<｜place▁holder▁no▁530｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128531": { + "content": "<｜place▁holder▁no▁531｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128532": { + "content": "<｜place▁holder▁no▁532｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128533": { + "content": "<｜place▁holder▁no▁533｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128534": { + "content": "<｜place▁holder▁no▁534｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128535": { + "content": "<｜place▁holder▁no▁535｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128536": { + "content": "<｜place▁holder▁no▁536｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128537": { + "content": "<｜place▁holder▁no▁537｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128538": { + "content": "<｜place▁holder▁no▁538｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128539": { + "content": "<｜place▁holder▁no▁539｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128540": { + "content": "<｜place▁holder▁no▁540｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128541": { + "content": "<｜place▁holder▁no▁541｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128542": { + "content": "<｜place▁holder▁no▁542｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128543": { + "content": "<｜place▁holder▁no▁543｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128544": { + "content": "<｜place▁holder▁no▁544｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128545": { + "content": "<｜place▁holder▁no▁545｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128546": { + "content": "<｜place▁holder▁no▁546｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128547": { + "content": "<｜place▁holder▁no▁547｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128548": { + "content": "<｜place▁holder▁no▁548｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128549": { + "content": "<｜place▁holder▁no▁549｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128550": { + "content": "<｜place▁holder▁no▁550｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128551": { + "content": "<｜place▁holder▁no▁551｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128552": { + "content": "<｜place▁holder▁no▁552｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128553": { + "content": "<｜place▁holder▁no▁553｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128554": { + "content": "<｜place▁holder▁no▁554｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128555": { + "content": "<｜place▁holder▁no▁555｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128556": { + "content": "<｜place▁holder▁no▁556｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128557": { + "content": "<｜place▁holder▁no▁557｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128558": { + "content": "<｜place▁holder▁no▁558｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128559": { + "content": "<｜place▁holder▁no▁559｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128560": { + "content": "<｜place▁holder▁no▁560｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128561": { + "content": "<｜place▁holder▁no▁561｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128562": { + "content": "<｜place▁holder▁no▁562｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128563": { + "content": "<｜place▁holder▁no▁563｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128564": { + "content": "<｜place▁holder▁no▁564｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128565": { + "content": "<｜place▁holder▁no▁565｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128566": { + "content": "<｜place▁holder▁no▁566｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128567": { + "content": "<｜place▁holder▁no▁567｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128568": { + "content": "<｜place▁holder▁no▁568｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128569": { + "content": "<｜place▁holder▁no▁569｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128570": { + "content": "<｜place▁holder▁no▁570｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128571": { + "content": "<｜place▁holder▁no▁571｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128572": { + "content": "<｜place▁holder▁no▁572｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128573": { + "content": "<｜place▁holder▁no▁573｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128574": { + "content": "<｜place▁holder▁no▁574｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128575": { + "content": "<｜place▁holder▁no▁575｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128576": { + "content": "<｜place▁holder▁no▁576｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128577": { + "content": "<｜place▁holder▁no▁577｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128578": { + "content": "<｜place▁holder▁no▁578｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128579": { + "content": "<｜place▁holder▁no▁579｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128580": { + "content": "<｜place▁holder▁no▁580｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128581": { + "content": "<｜place▁holder▁no▁581｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128582": { + "content": "<｜place▁holder▁no▁582｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128583": { + "content": "<｜place▁holder▁no▁583｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128584": { + "content": "<｜place▁holder▁no▁584｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128585": { + "content": "<｜place▁holder▁no▁585｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128586": { + "content": "<｜place▁holder▁no▁586｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128587": { + "content": "<｜place▁holder▁no▁587｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128588": { + "content": "<｜place▁holder▁no▁588｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128589": { + "content": "<｜place▁holder▁no▁589｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128590": { + "content": "<｜place▁holder▁no▁590｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128591": { + "content": "<｜place▁holder▁no▁591｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128592": { + "content": "<｜place▁holder▁no▁592｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128593": { + "content": "<｜place▁holder▁no▁593｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128594": { + "content": "<｜place▁holder▁no▁594｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128595": { + "content": "<｜place▁holder▁no▁595｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128596": { + "content": "<｜place▁holder▁no▁596｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128597": { + "content": "<｜place▁holder▁no▁597｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128598": { + "content": "<｜place▁holder▁no▁598｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128599": { + "content": "<｜place▁holder▁no▁599｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128600": { + "content": "<｜place▁holder▁no▁600｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128601": { + "content": "<｜place▁holder▁no▁601｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128602": { + "content": "<｜place▁holder▁no▁602｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128603": { + "content": "<｜place▁holder▁no▁603｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128604": { + "content": "<｜place▁holder▁no▁604｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128605": { + "content": "<｜place▁holder▁no▁605｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128606": { + "content": "<｜place▁holder▁no▁606｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128607": { + "content": "<｜place▁holder▁no▁607｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128608": { + "content": "<｜place▁holder▁no▁608｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128609": { + "content": "<｜place▁holder▁no▁609｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128610": { + "content": "<｜place▁holder▁no▁610｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128611": { + "content": "<｜place▁holder▁no▁611｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128612": { + "content": "<｜place▁holder▁no▁612｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128613": { + "content": "<｜place▁holder▁no▁613｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128614": { + "content": "<｜place▁holder▁no▁614｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128615": { + "content": "<｜place▁holder▁no▁615｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128616": { + "content": "<｜place▁holder▁no▁616｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128617": { + "content": "<｜place▁holder▁no▁617｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128618": { + "content": "<｜place▁holder▁no▁618｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128619": { + "content": "<｜place▁holder▁no▁619｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128620": { + "content": "<｜place▁holder▁no▁620｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128621": { + "content": "<｜place▁holder▁no▁621｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128622": { + "content": "<｜place▁holder▁no▁622｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128623": { + "content": "<｜place▁holder▁no▁623｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128624": { + "content": "<｜place▁holder▁no▁624｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128625": { + "content": "<｜place▁holder▁no▁625｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128626": { + "content": "<｜place▁holder▁no▁626｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128627": { + "content": "<｜place▁holder▁no▁627｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128628": { + "content": "<｜place▁holder▁no▁628｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128629": { + "content": "<｜place▁holder▁no▁629｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128630": { + "content": "<｜place▁holder▁no▁630｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128631": { + "content": "<｜place▁holder▁no▁631｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128632": { + "content": "<｜place▁holder▁no▁632｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128633": { + "content": "<｜place▁holder▁no▁633｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128634": { + "content": "<｜place▁holder▁no▁634｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128635": { + "content": "<｜place▁holder▁no▁635｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128636": { + "content": "<｜place▁holder▁no▁636｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128637": { + "content": "<｜place▁holder▁no▁637｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128638": { + "content": "<｜place▁holder▁no▁638｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128639": { + "content": "<｜place▁holder▁no▁639｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128640": { + "content": "<｜place▁holder▁no▁640｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128641": { + "content": "<｜place▁holder▁no▁641｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128642": { + "content": "<｜place▁holder▁no▁642｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128643": { + "content": "<｜place▁holder▁no▁643｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128644": { + "content": "<｜place▁holder▁no▁644｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128645": { + "content": "<｜place▁holder▁no▁645｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128646": { + "content": "<｜place▁holder▁no▁646｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128647": { + "content": "<｜place▁holder▁no▁647｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128648": { + "content": "<｜place▁holder▁no▁648｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128649": { + "content": "<｜place▁holder▁no▁649｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128650": { + "content": "<｜place▁holder▁no▁650｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128651": { + "content": "<｜place▁holder▁no▁651｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128652": { + "content": "<｜place▁holder▁no▁652｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128653": { + "content": "<｜place▁holder▁no▁653｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128654": { + "content": "<｜place▁holder▁no▁654｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128655": { + "content": "<｜place▁holder▁no▁655｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128656": { + "content": "<｜place▁holder▁no▁656｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128657": { + "content": "<｜place▁holder▁no▁657｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128658": { + "content": "<｜place▁holder▁no▁658｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128659": { + "content": "<｜place▁holder▁no▁659｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128660": { + "content": "<｜place▁holder▁no▁660｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128661": { + "content": "<｜place▁holder▁no▁661｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128662": { + "content": "<｜place▁holder▁no▁662｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128663": { + "content": "<｜place▁holder▁no▁663｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128664": { + "content": "<｜place▁holder▁no▁664｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128665": { + "content": "<｜place▁holder▁no▁665｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128666": { + "content": "<｜place▁holder▁no▁666｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128667": { + "content": "<｜place▁holder▁no▁667｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128668": { + "content": "<｜place▁holder▁no▁668｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128669": { + "content": "<｜place▁holder▁no▁669｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128670": { + "content": "<｜place▁holder▁no▁670｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128671": { + "content": "<｜place▁holder▁no▁671｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128672": { + "content": "<｜place▁holder▁no▁672｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128673": { + "content": "<｜place▁holder▁no▁673｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128674": { + "content": "<｜place▁holder▁no▁674｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128675": { + "content": "<｜place▁holder▁no▁675｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128676": { + "content": "<｜place▁holder▁no▁676｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128677": { + "content": "<｜place▁holder▁no▁677｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128678": { + "content": "<｜place▁holder▁no▁678｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128679": { + "content": "<｜place▁holder▁no▁679｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128680": { + "content": "<｜place▁holder▁no▁680｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128681": { + "content": "<｜place▁holder▁no▁681｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128682": { + "content": "<｜place▁holder▁no▁682｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128683": { + "content": "<｜place▁holder▁no▁683｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128684": { + "content": "<｜place▁holder▁no▁684｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128685": { + "content": "<｜place▁holder▁no▁685｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128686": { + "content": "<｜place▁holder▁no▁686｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128687": { + "content": "<｜place▁holder▁no▁687｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128688": { + "content": "<｜place▁holder▁no▁688｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128689": { + "content": "<｜place▁holder▁no▁689｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128690": { + "content": "<｜place▁holder▁no▁690｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128691": { + "content": "<｜place▁holder▁no▁691｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128692": { + "content": "<｜place▁holder▁no▁692｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128693": { + "content": "<｜place▁holder▁no▁693｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128694": { + "content": "<｜place▁holder▁no▁694｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128695": { + "content": "<｜place▁holder▁no▁695｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128696": { + "content": "<｜place▁holder▁no▁696｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128697": { + "content": "<｜place▁holder▁no▁697｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128698": { + "content": "<｜place▁holder▁no▁698｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128699": { + "content": "<｜place▁holder▁no▁699｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128700": { + "content": "<｜place▁holder▁no▁700｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128701": { + "content": "<｜place▁holder▁no▁701｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128702": { + "content": "<｜place▁holder▁no▁702｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128703": { + "content": "<｜place▁holder▁no▁703｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128704": { + "content": "<｜place▁holder▁no▁704｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128705": { + "content": "<｜place▁holder▁no▁705｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128706": { + "content": "<｜place▁holder▁no▁706｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128707": { + "content": "<｜place▁holder▁no▁707｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128708": { + "content": "<｜place▁holder▁no▁708｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128709": { + "content": "<｜place▁holder▁no▁709｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128710": { + "content": "<｜place▁holder▁no▁710｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128711": { + "content": "<｜place▁holder▁no▁711｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128712": { + "content": "<｜place▁holder▁no▁712｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128713": { + "content": "<｜place▁holder▁no▁713｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128714": { + "content": "<｜place▁holder▁no▁714｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128715": { + "content": "<｜place▁holder▁no▁715｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128716": { + "content": "<｜place▁holder▁no▁716｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128717": { + "content": "<｜place▁holder▁no▁717｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128718": { + "content": "<｜place▁holder▁no▁718｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128719": { + "content": "<｜place▁holder▁no▁719｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128720": { + "content": "<｜place▁holder▁no▁720｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128721": { + "content": "<｜place▁holder▁no▁721｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128722": { + "content": "<｜place▁holder▁no▁722｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128723": { + "content": "<｜place▁holder▁no▁723｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128724": { + "content": "<｜place▁holder▁no▁724｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128725": { + "content": "<｜place▁holder▁no▁725｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128726": { + "content": "<｜place▁holder▁no▁726｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128727": { + "content": "<｜place▁holder▁no▁727｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128728": { + "content": "<｜place▁holder▁no▁728｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128729": { + "content": "<｜place▁holder▁no▁729｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128730": { + "content": "<｜place▁holder▁no▁730｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128731": { + "content": "<｜place▁holder▁no▁731｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128732": { + "content": "<｜place▁holder▁no▁732｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128733": { + "content": "<｜place▁holder▁no▁733｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128734": { + "content": "<｜place▁holder▁no▁734｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128735": { + "content": "<｜place▁holder▁no▁735｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128736": { + "content": "<｜place▁holder▁no▁736｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128737": { + "content": "<｜place▁holder▁no▁737｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128738": { + "content": "<｜place▁holder▁no▁738｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128739": { + "content": "<｜place▁holder▁no▁739｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128740": { + "content": "<｜place▁holder▁no▁740｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128741": { + "content": "<｜place▁holder▁no▁741｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128742": { + "content": "<｜place▁holder▁no▁742｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128743": { + "content": "<｜place▁holder▁no▁743｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128744": { + "content": "<｜place▁holder▁no▁744｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128745": { + "content": "<｜place▁holder▁no▁745｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128746": { + "content": "<｜place▁holder▁no▁746｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128747": { + "content": "<｜place▁holder▁no▁747｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128748": { + "content": "<｜place▁holder▁no▁748｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128749": { + "content": "<｜place▁holder▁no▁749｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128750": { + "content": "<｜place▁holder▁no▁750｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128751": { + "content": "<｜place▁holder▁no▁751｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128752": { + "content": "<｜place▁holder▁no▁752｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128753": { + "content": "<｜place▁holder▁no▁753｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128754": { + "content": "<｜place▁holder▁no▁754｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128755": { + "content": "<｜place▁holder▁no▁755｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128756": { + "content": "<｜place▁holder▁no▁756｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128757": { + "content": "<｜place▁holder▁no▁757｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128758": { + "content": "<｜place▁holder▁no▁758｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128759": { + "content": "<｜place▁holder▁no▁759｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128760": { + "content": "<｜place▁holder▁no▁760｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128761": { + "content": "<｜place▁holder▁no▁761｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128762": { + "content": "<｜place▁holder▁no▁762｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128763": { + "content": "<｜place▁holder▁no▁763｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128764": { + "content": "<｜place▁holder▁no▁764｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128765": { + "content": "<｜place▁holder▁no▁765｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128766": { + "content": "<｜place▁holder▁no▁766｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128767": { + "content": "<｜place▁holder▁no▁767｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128768": { + "content": "<｜place▁holder▁no▁768｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128769": { + "content": "<｜place▁holder▁no▁769｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128770": { + "content": "<｜place▁holder▁no▁770｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128771": { + "content": "<｜place▁holder▁no▁771｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128772": { + "content": "<｜place▁holder▁no▁772｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128773": { + "content": "<｜place▁holder▁no▁773｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128774": { + "content": "<｜place▁holder▁no▁774｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128775": { + "content": "<｜place▁holder▁no▁775｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128776": { + "content": "<｜place▁holder▁no▁776｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128777": { + "content": "<｜place▁holder▁no▁777｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128778": { + "content": "<｜place▁holder▁no▁778｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128779": { + "content": "<｜place▁holder▁no▁779｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128780": { + "content": "<｜place▁holder▁no▁780｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128781": { + "content": "<｜place▁holder▁no▁781｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128782": { + "content": "<｜place▁holder▁no▁782｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128783": { + "content": "<｜place▁holder▁no▁783｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128784": { + "content": "<｜place▁holder▁no▁784｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128785": { + "content": "<｜place▁holder▁no▁785｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128786": { + "content": "<｜place▁holder▁no▁786｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128787": { + "content": "<｜place▁holder▁no▁787｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128788": { + "content": "<｜place▁holder▁no▁788｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128789": { + "content": "<｜place▁holder▁no▁789｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128790": { + "content": "<｜place▁holder▁no▁790｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128791": { + "content": "<｜place▁holder▁no▁791｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128792": { + "content": "<｜place▁holder▁no▁792｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128793": { + "content": "<｜place▁holder▁no▁793｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128794": { + "content": "<｜place▁holder▁no▁794｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128795": { + "content": "<｜place▁holder▁no▁795｜>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "128796": { + "content": "<｜search▁begin｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128797": { + "content": "<｜search▁end｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128798": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128799": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128800": { + "content": "<｜fim▁hole｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128801": { + "content": "<｜fim▁begin｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128802": { + "content": "<｜fim▁end｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128803": { + "content": "<｜User｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128804": { + "content": "<｜Assistant｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128805": { + "content": "<|EOT|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": true + }, + "128806": { + "content": "<｜tool▁calls▁begin｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128807": { + "content": "<｜tool▁calls▁end｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128808": { + "content": "<｜tool▁call▁begin｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128809": { + "content": "<｜tool▁call▁end｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128810": { + "content": "<｜tool▁outputs▁begin｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128811": { + "content": "<｜tool▁outputs▁end｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128812": { + "content": "<｜tool▁output▁begin｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128813": { + "content": "<｜tool▁output▁end｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "128814": { + "content": "<｜tool▁sep｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + } + }, + "bos_token": "<｜begin▁of▁sentence｜>", + "clean_up_tokenization_spaces": false, + "eos_token": "<｜end▁of▁sentence｜>", + "extra_special_tokens": {}, + "legacy": true, + "model_max_length": 163840, + "pad_token": "<｜▁pad▁｜>", + "padding_side": "left", + "sp_model_kwargs": {}, + "tokenizer_class": "LlamaTokenizerFast", + "unk_token": null, + "use_default_system_prompt": false, + "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% if not thinking is defined %}{% set thinking = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, system_prompt='', is_first_sp=true, is_last_user=false) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{ bos_token }}{{ ns.system_prompt }}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{%- set ns.is_first = false -%}{%- set ns.is_last_user = true -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}{%- if ns.is_last_user %}{{'<｜Assistant｜>'}}{%- endif %}{%- set ns.is_last_user = false -%}{%- set ns.is_first = false %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls'] %}{%- if not ns.is_first %}{%- if message['content'] is none %}{{'<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- else %}{{message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- set ns.is_first = true -%}{%- else %}{{'<｜tool▁call▁begin｜>'+ tool['function']['name'] + '<｜tool▁sep｜>' + tool['function']['arguments'] + '<｜tool▁call▁end｜>'}}{%- endif %}{%- endfor %}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}{%- if ns.is_last_user %}{{'<｜Assistant｜>'}}{%- if message['prefix'] is defined and message['prefix'] and thinking %}{{''}} {%- else %}{{''}}{%- endif %}{%- endif %}{%- set ns.is_last_user = false -%}{%- if ns.is_tool %}{{message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{%- set content = message['content'] -%}{%- if '' in content %}{%- set content = content.split('', 1)[1] -%}{%- endif %}{{content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_last_user = false -%}{%- set ns.is_tool = true -%}{{'<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endfor -%}{%- if add_generation_prompt and ns.is_last_user and not ns.is_tool %}{{'<｜Assistant｜>'}}{%- if not thinking %}{{''}}{%- else %}{{''}}{%- endif %}{% endif %}" +} \ No newline at end of file