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---
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
---
# mlx-community/simplescaling-s1.1-32B-6bit
The Model [mlx-community/simplescaling-s1.1-32B-6bit](https://huggingface.co/mlx-community/simplescaling-s1.1-32B-6bit) was
converted to MLX format from [simplescaling/s1.1-32B](https://huggingface.co/simplescaling/s1.1-32B)
using mlx-lm version **0.21.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/simplescaling-s1.1-32B-6bit")
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)
```
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