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:
- f004fd5ba7c32a173575a3a3e0130e03777be71e1a8e696f90a0f7472a0a6fa9
- Size of remote file:
- 27.3 MB
- SHA256:
- 65de8ad934b2aa1e06991286f18fa0c55c69a51c6461d1492c694c83486e32a4
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