README.md

metadata

license: apache-2.0
datasets:
  - FreedomIntelligence/medical-o1-reasoning-SFT
  - FreedomIntelligence/medical-o1-verifiable-problem
language:
  - en
  - zh
base_model: FreedomIntelligence/HuatuoGPT-o1-72B
pipeline_tag: text-generation
tags:
  - medical
  - mlx

abalogh/HuatuoGPT-o1-72B-4bit

The Model abalogh/HuatuoGPT-o1-72B-4bit was converted to MLX format from FreedomIntelligence/HuatuoGPT-o1-72B using mlx-lm version 0.20.6.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("abalogh/HuatuoGPT-o1-72B-4bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)