Instructions to use huggingkot/L3-8B-Lunaris-v1-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/L3-8B-Lunaris-v1-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 49590c4a34f6701cc53050b8ffc39a313840d06e6ce30739ce7a123ae13a2b4c
- Size of remote file:
- 25.2 MB
- SHA256:
- 29b61a6e8b0ec99ec25baf091f96b56f7b48c04e10622f3c88874423a94f4910
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