README.md

---
license: apache-2.0
language:
- en
- ko
base_model: sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx
tags:
- mlx
- mlx
- mlx-my-repo
---

# sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx-Q2-mlx

The Model [sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx-Q2-mlx](https://huggingface.co/sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx-Q2-mlx) was converted to MLX format from [sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx](https://huggingface.co/sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx) 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("sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx-Q2-mlx")

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)
```