README.md

metadata

license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE
language:
  - en
pipeline_tag: text-generation
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
  - chat
  - mlx
library_name: transformers

mlx-community/Qwen2.5-7B-Instruct-3bit

The Model mlx-community/Qwen2.5-7B-Instruct-3bit was converted to MLX format from Qwen/Qwen2.5-7B-Instruct using mlx-lm version 0.20.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Qwen2.5-7B-Instruct-3bit")

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)