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:
- 6619c9ba1201673250e79620fc652047948adf0a3f6ac3463956f731e55c6186
- Size of remote file:
- 29.4 MB
- SHA256:
- 7ee1a1d257ea68dd0fc98f952c165137463d0d2154a10497b19fee46d9a3e838
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