| 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) | |
| ``` | |