Baichuan-M2#

  • Context Length: 131072

  • Model Name: Baichuan-M2

  • Languages: en, zh

  • Abilities: chat, reasoning, hybrid, tools

  • Description: Baichuan-M2-32B is Baichuan AI's medical-enhanced reasoning model, the second medical model released by Baichuan. Designed for real-world medical reasoning tasks, this model builds upon Qwen2.5-32B with an innovative Large Verifier System. Through domain-specific fine-tuning on real-world medical questions, it achieves breakthrough medical performance while maintaining strong general capabilities.

Specifications#

Model Spec 1 (pytorch, 32 Billion)#

  • Model Format: pytorch

  • Model Size (in billions): 32

  • Quantizations: none

  • Engines: vLLM, Transformers, SGLang

  • Model ID: baichuan-inc/Baichuan-M2-32B

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name Baichuan-M2 --size-in-billions 32 --model-format pytorch --quantization ${quantization}

Model Spec 2 (gptq, 32 Billion)#

  • Model Format: gptq

  • Model Size (in billions): 32

  • Quantizations: Int4

  • Engines: vLLM, Transformers, SGLang

  • Model ID: baichuan-inc/Baichuan-M2-32B-GPTQ-Int4

  • Model Hubs: Hugging Face, ModelScope

Execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:

xinference launch --model-engine ${engine} --model-name Baichuan-M2 --size-in-billions 32 --model-format gptq --quantization ${quantization}