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---
base_model: YOYO-AI/QwQ-coder-32B
library_name: mlx
tags:
- mergekit
- merge
- mlx
pipeline_tag: text-generation
---
# litmudoc/QwQ-coder-32B-MLX-Q8
This model [litmudoc/QwQ-coder-32B-MLX-Q8](https://huggingface.co/litmudoc/QwQ-coder-32B-MLX-Q8) was
converted to MLX format from [YOYO-AI/QwQ-coder-32B](https://huggingface.co/YOYO-AI/QwQ-coder-32B)
using mlx-lm version **0.22.2**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("litmudoc/QwQ-coder-32B-MLX-Q8")
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)
```
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