---
license: apache-2.0
datasets:
- GAIR/SR-Scientist
base_model: GAIR/SR-Scientist-30B
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
---

# SR-Scientist-30B-mxfp4-mlx

This model [SR-Scientist-30B-mxfp4-mlx](https://huggingface.co/SR-Scientist-30B-mxfp4-mlx) was
converted to MLX format from [GAIR/SR-Scientist-30B](https://huggingface.co/GAIR/SR-Scientist-30B)
using mlx-lm version **0.28.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("SR-Scientist-30B-mxfp4-mlx")

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)
```