Tinkering in progress!

This model is a work in progress and likely is not yet returning valid output.

sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX

The Model sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX was converted to MLX format from sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview using mlx-lm version 0.22.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX")

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)