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license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- reasoning
- olympiad
- mathematics
- science
- reinforcement-learning
- test-time-scaling
- long-context
- mlx
base_model: Simplified-Reasoning/SU-01
---
# mlx-community/SU-01-5bit
This model [mlx-community/SU-01-5bit](https://huggingface.co/mlx-community/SU-01-5bit) was
converted to MLX format from [Simplified-Reasoning/SU-01](https://huggingface.co/Simplified-Reasoning/SU-01)
using mlx-lm version **0.31.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SU-01-5bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
```
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