README.md

metadata

language:
  - en
  - zh
tags:
  - medical
  - mlx
base_model: baichuan-inc/Baichuan-M1-14B-Instruct
pipeline_tag: text-generation
library_name: mlx

mlx-community/Baichuan-M1-14B-Instruct

This model mlx-community/Baichuan-M1-14B-Instruct was converted to MLX format from baichuan-inc/Baichuan-M1-14B-Instruct using mlx-lm version 0.23.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Baichuan-M1-14B-Instruct")

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)