bobig/QwQ-Coder-instruct-mlx-4Bit

This is pretty good. QwQ brains and memory + Qwen code instruct

Now in delicious MLX, eat it or wear it

32k context is solid in QwQ: https://fiction.live/stories/Fiction-liveBench-Mar-14-2025/oQdzQvKHw8JyXbN87

Test Prompt: Write a quick sort in C++

The Model bobig/QwQ-Coder-instruct-mlx-4Bit was converted to MLX format from YOYO-AI/QwQ-Coder-instruct using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("bobig/QwQ-Coder-instruct-mlx-4Bit")

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)