README.md

metadata

base_model: FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview
tags:
  - mlx

WaveCut/FuseAI_FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview_MLX-4bit

The Model WaveCut/FuseAI_FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview_MLX-4bit was converted to MLX format from FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("WaveCut/FuseAI_FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview_MLX-4bit")

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)