README.md

metadata

base_model: FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview
tags:
  - mlx

mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview-3bit

The Model mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview-3bit was converted to MLX format from FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview-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)