diff --git a/README.md b/README.md
index d59bf3a..d5d9715 100644
--- a/README.md
+++ b/README.md
@@ -28,7 +28,7 @@ library_name: transformers
    |
   <a href="https://www.modelscope.cn/organization/XiaomiMiMo" target="_blank">🤖️ ModelScope</a>
   &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>
   &nbsp;|
   <br/>
 </div>
@@ -203,7 +203,7 @@ Example script
 ```py
 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)
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 inputs = tokenizer(["Today is"], return_tensors='pt')
@@ -221,16 +221,18 @@ print(tokenizer.decode(output.tolist()[0]))
 ## V. Citation
 
 ```bibtex
-@misc{xiaomi2025mimo,
-      title={MiMo: Unlocking the Reasoning Potential of Language Model – From Pretraining to Posttraining}, 
+@misc{coreteam2025mimounlockingreasoningpotential,
+      title={MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining}, 
       author={{Xiaomi LLM-Core Team}},
       year={2025},
+      eprint={2505.07608},
+      archivePrefix={arXiv},
       primaryClass={cs.CL},
-      url={https://github.com/XiaomiMiMo/MiMo}, 
+      url={https://arxiv.org/abs/2505.07608}, 
 }
 ```
 
 
 ## VI. Contact
 
-Please contact us at [mimo@xiaomi.com](mailto:mimo@xiaomi.com) or open an issue if you have any questions.
\ No newline at end of file
+Please contact us at [mimo@xiaomi.com](mailto:mimo@xiaomi.com) or open an issue if you have any questions.
diff --git a/config.json b/config.json
index 6a1be49..b7ccfc0 100644
--- a/config.json
+++ b/config.json
@@ -2,6 +2,9 @@
     "architectures": [
         "MiMoForCausalLM"
     ],
+    "tokenizer_class":[
+        "Qwen2Tokenizer"
+    ],
     "auto_map": {
 	"AutoConfig": "configuration_mimo.MiMoConfig",
 	"AutoModel": "modeling_mimo.MiMoModel",