Instructions to use mlx-community/ALMA-13B-R-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/ALMA-13B-R-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/ALMA-13B-R-4bit-mlx --local-dir ALMA-13B-R-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 478 Bytes
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license: mit
tags:
- mlx
---
# mlx-community/ALMA-13B-R-4bit-mlx
This model was converted to MLX format from [`haoranxu/ALMA-13B-R`]().
Refer to the [original model card](https://huggingface.co/haoranxu/ALMA-13B-R) 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/ALMA-13B-R-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
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