README.md

---
pipeline_tag: text-generation
inference: true
license: apache-2.0
datasets:
- simplescaling/s1K-1.1
base_model: simplescaling/s1.1-32B
library_name: transformers
tags:
- mlx
---

# codingmavin/s1.1-32B-mlx-6Bit

The Model [codingmavin/s1.1-32B-mlx-6Bit](https://huggingface.co/codingmavin/s1.1-32B-mlx-6Bit) was converted to MLX format from [simplescaling/s1.1-32B](https://huggingface.co/simplescaling/s1.1-32B) 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("codingmavin/s1.1-32B-mlx-6Bit")

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)
```