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---
license: apache-2.0
datasets:
- open-r1/codeforces-cots
language:
- en
base_model: open-r1/OlympicCoder-7B
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
---
# alexgusevski/OlympicCoder-7B-mlx-4Bit
The Model [alexgusevski/OlympicCoder-7B-mlx-4Bit](https://huggingface.co/alexgusevski/OlympicCoder-7B-mlx-4Bit) was converted to MLX format from [open-r1/OlympicCoder-7B](https://huggingface.co/open-r1/OlympicCoder-7B) 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("alexgusevski/OlympicCoder-7B-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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