MLX
mistral
Merge
mergekit
lazymergekit
fblgit/UNA-TheBeagle-7b-v1
argilla/distilabeled-Marcoro14-7B-slerp
dpo
rlhf
Instructions to use mlx-community/NeuralBeagle14-7B-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/NeuralBeagle14-7B-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir NeuralBeagle14-7B-4bit-mlx mlx-community/NeuralBeagle14-7B-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Xet hash:
- 1e090c2d2774ea7875da72d682c12600bd69085e9c28674b917a49fe82ccffe2
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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