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QwQ-0.5B-fp16/README.md

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---
datasets:
- open-r1/OpenR1-Math-220k
base_model: InfiniAILab/QwQ-0.5B
tags:
- mlx
library_name: mlx
pipeline_tag: text-generation
---
# mlx-community/QwQ-0.5B-fp16
This model [mlx-community/QwQ-0.5B-fp16](https://huggingface.co/mlx-community/QwQ-0.5B-fp16) was
converted to MLX format from [InfiniAILab/QwQ-0.5B](https://huggingface.co/InfiniAILab/QwQ-0.5B)
using mlx-lm version **0.22.4**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/QwQ-0.5B-fp16")
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)
```