Update pipeline tag and add paper link to metadata and content

#4
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +16 -10
README.md CHANGED
@@ -1,16 +1,21 @@
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  ---
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- license: apache-2.0
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- tags:
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- - chat
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- library_name: transformers
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  language:
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  - en
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  - zh
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- base_model:
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- - Qwen/Qwen2.5-32B
 
 
 
 
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  ---
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  # Baichuan-M2-32B
 
 
 
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  [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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  [![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Model-yellow)](https://huggingface.co/baichuan-inc/Baichuan-M2-32B)
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  [![M2 GPTQ-4bit](https://img.shields.io/badge/🤗%20M2%20GPTQ--4bit-Model-orange)](https://huggingface.co/baichuan-inc/Baichuan-M2-32B-GPTQ-Int4)
@@ -105,8 +110,10 @@ try:
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  except ValueError:
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  index = 0
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- thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip("\n")
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- content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip("\n")
 
 
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  print("thinking content:", thinking_content)
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  print("content:", content)
@@ -165,5 +172,4 @@ Thank you to the open-source community. We commit to continuous contribution and
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  **Empowering Healthcare with AI, Making Health Accessible to All**
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- </div>
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-
 
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  ---
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+ base_model:
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+ - Qwen/Qwen2.5-32B
 
 
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  language:
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  - en
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  - zh
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+ library_name: transformers
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+ license: apache-2.0
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+ tags:
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+ - chat
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+ pipeline_tag: text-generation
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+ paper: 2509.02208
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  ---
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  # Baichuan-M2-32B
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+
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+ This repository contains the model presented in [Baichuan-M2: Scaling Medical Capability with Large Verifier System](https://huggingface.co/papers/2509.02208).
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+
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  [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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  [![Hugging Face](https://img.shields.io/badge/🤗%20Hugging%20Face-Model-yellow)](https://huggingface.co/baichuan-inc/Baichuan-M2-32B)
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  [![M2 GPTQ-4bit](https://img.shields.io/badge/🤗%20M2%20GPTQ--4bit-Model-orange)](https://huggingface.co/baichuan-inc/Baichuan-M2-32B-GPTQ-Int4)
 
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  except ValueError:
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  index = 0
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+ thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip("
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+ ")
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+ content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip("
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+ ")
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  print("thinking content:", thinking_content)
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  print("content:", content)
 
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  **Empowering Healthcare with AI, Making Health Accessible to All**
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+ </div>