---
tags:
- alignment-handbook
- generated_from_trainer
- mlx
datasets:
- HuggingFaceH4/ultrafeedback_binarized
- HuggingFaceH4/orca_dpo_pairs
base_model: HuggingFaceH4/starchat2-15b-sft-v0.1
model-index:
- name: starchat2-15b-v0.1
  results: []
---

# mlx-community/starchat2-15b-v0.1-4bit
This model was converted to MLX format from [`HuggingFaceH4/starchat2-15b-v0.1`]().
Refer to the [original model card](https://huggingface.co/HuggingFaceH4/starchat2-15b-v0.1) for more details on the model.
## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/starchat2-15b-v0.1-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```