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:
- df9e97574fba5bf87624a1428e298288ba9a5cd026abcec2039f2d42fd4bc804
- Size of remote file:
- 2.15 kB
- SHA256:
- cbf219d44f39830036af742f981e067ddd38eb17df5e4ac0b9dd03298e7a7a87
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