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---
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)
```
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