Instructions to use mlx-community/AMD-Llama-135m-code-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/AMD-Llama-135m-code-bfloat16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir AMD-Llama-135m-code-bfloat16 mlx-community/AMD-Llama-135m-code-bfloat16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Upload folder using huggingface_hub
Upload folder using huggingface_hub
Multi commit ID: c20dec898b3218ad46e5b488fd088c4fb0b6eb5924808a512856c0341239ec70
Scheduled commits:
- Upload 8 file(s) totalling 272.4M (b6f64a30bcd32a83c57289cdc00df5826a72fbac12f5e3cc9484cb401e58793c)
This is a PR opened using the huggingface_hub library in the context of a multi-commit. PR can be commented as a usual PR. However, please be aware that manually updating the PR description, changing the PR status, or pushing new commits, is not recommended as it might corrupt the commit process. Learn more about multi-commits in this guide.
Multi-commit is now completed! You can ping the repo owner to review the changes. This PR can now be commented or modified without risking to corrupt it.
This is a comment posted using the huggingface_hub library in the context of a multi-commit. Learn more about multi-commits in this guide.
create_pr=False has been passed so PR is automatically merged.
This is a comment posted using the huggingface_hub library in the context of a multi-commit. Learn more about multi-commits in this guide.