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:
- 8b130000a176c12b3d92b1213e64c54b05ce88c983753d6dc94062b46e56735d
- Size of remote file:
- 29.4 MB
- SHA256:
- 303b0ac260e7a1ddca14e125490eb49dfaf778840ccce1bef705856da520d427
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