README.md

metadata

base_model: pfnet/Preferred-MedLLM-Qwen-72B
language:
  - en
  - ja
library_name: transformers
pipeline_tag: text-generation
license: other
license_name: qwen
tags:
  - mlx

mlx-community/Preferred-MedLLM-Qwen-72B-8bit

The Model mlx-community/Preferred-MedLLM-Qwen-72B-8bit was converted to MLX format from pfnet/Preferred-MedLLM-Qwen-72B using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Preferred-MedLLM-Qwen-72B-8bit")

prompt = "hello"

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

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