ai-models/MiMo-7B-RL
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README.md
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@ -28,7 +28,7 @@ library_name: transformers
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<a href="https://www.modelscope.cn/organization/XiaomiMiMo" target="_blank">🤖️ ModelScope</a> <a href="https://www.modelscope.cn/organization/XiaomiMiMo" target="_blank">🤖️ ModelScope</a>
&nbsp;| &nbsp;|
<a href="https://github.com/XiaomiMiMo/MiMo/blob/main/MiMo-7B-Technical-Report.pdf" target="_blank">📔 Technical Report</a> <a href="https://arxiv.org/abs/2505.07608" target="_blank">📔 Technical Report</a>
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<br/> <br/>
</div> </div>
@ -203,7 +203,7 @@ Example script
```py ```py
from transformers import AutoModel, AutoModelForCausalLM, AutoTokenizer from transformers import AutoModel, AutoModelForCausalLM, AutoTokenizer
model_id = "XiaomiMiMo/MiMo-7B-Base" model_id = "XiaomiMiMo/MiMo-7B-RL"
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_id) tokenizer = AutoTokenizer.from_pretrained(model_id)
inputs = tokenizer(["Today is"], return_tensors='pt') inputs = tokenizer(["Today is"], return_tensors='pt')
@ -221,12 +221,14 @@ print(tokenizer.decode(output.tolist()[0]))
## V. Citation ## V. Citation
```bibtex ```bibtex
@misc{xiaomi2025mimo, @misc{coreteam2025mimounlockingreasoningpotential,
title={MiMo: Unlocking the Reasoning Potential of Language Model – From Pretraining to Posttraining}, title={MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining},
author={{Xiaomi LLM-Core Team}}, author={{Xiaomi LLM-Core Team}},
year={2025}, year={2025},
eprint={2505.07608},
archivePrefix={arXiv},
primaryClass={cs.CL}, primaryClass={cs.CL},
url={https://github.com/XiaomiMiMo/MiMo}, url={https://arxiv.org/abs/2505.07608},
} }
``` ```

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config.json
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@ -2,6 +2,9 @@
"architectures": [ "architectures": [
"MiMoForCausalLM" "MiMoForCausalLM"
], ],
"tokenizer_class":[
"Qwen2Tokenizer"
],
"auto_map": { "auto_map": {
"AutoConfig": "configuration_mimo.MiMoConfig", "AutoConfig": "configuration_mimo.MiMoConfig",
"AutoModel": "modeling_mimo.MiMoModel", "AutoModel": "modeling_mimo.MiMoModel",