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:
- 60e116c24df16abe69bb5fc9322779f7e90f78cb90c21147d1df4c69170a89bf
- Size of remote file:
- 58.7 MB
- SHA256:
- 27586de6bec003bab1c13e369bc40f32717d3bcc7e29a10b64a0b1a1060d1c97
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