---
license: apache-2.0
language:
- en
- zh
base_model: YOYO-AI/QwQ-Coder-instruct
pipeline_tag: text-generation
tags:
- merge
- mlx
- mlx-my-repo
new_version: YOYO-AI/QwQ-coder-32B
---

# 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](https://huggingface.co/bobig/QwQ-Coder-instruct-mlx-4Bit) was converted to MLX format from [YOYO-AI/QwQ-Coder-instruct](https://huggingface.co/YOYO-AI/QwQ-Coder-instruct) using mlx-lm version **0.21.5**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
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)
```