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:
- cb0624dd9583027ebbad34172c793a6953d1724f9fccc54ecc18b87dd797a098
- Size of remote file:
- 58.7 MB
- SHA256:
- ec75e25e15175fa8cf497d6f7b6e83c1bd8394e45f90e3a4be31a2a815d12948
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