Qwen2.5-Math-7B-Instruct/README.md

base_model, language, pipeline_tag, tags, library_name, license, license_link

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

mlx-community/Qwen2.5-Math-7B-Instruct

The Model mlx-community/Qwen2.5-Math-7B-Instruct was converted to MLX format from Qwen/Qwen2.5-Math-7B-Instruct using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

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