README.md

metadata

license: other
license_name: qwen-research
license_link: https://huggingface.co./Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE
language:
  - en
base_model: Qwen/Qwen2.5-Coder-3B-Instruct
pipeline_tag: text-generation
library_name: transformers
tags:
  - code
  - codeqwen
  - chat
  - qwen
  - qwen-coder
  - mlx

moot20/Qwen2.5-Coder-3B-Instruct-MLX-4bits

The Model moot20/Qwen2.5-Coder-3B-Instruct-MLX-4bits was converted to MLX format from Qwen/Qwen2.5-Coder-3B-Instruct using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("moot20/Qwen2.5-Coder-3B-Instruct-MLX-4bits")

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)