README.md

---
license: apache-2.0
datasets:
- open-r1/codeforces-cots
language:
- en
base_model: open-r1/OlympicCoder-32B
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
---

# abalogh/OlympicCoder-32B-4bit

This model [abalogh/OlympicCoder-32B-4bit](https://huggingface.co/abalogh/OlympicCoder-32B-4bit) was
converted to MLX format from [open-r1/OlympicCoder-32B](https://huggingface.co/open-r1/OlympicCoder-32B)
using mlx-lm version **0.22.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("abalogh/OlympicCoder-32B-4bit")

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)
```