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:
- 4c0321f49289c5fe0cb1f148190e7683b5be2a4a03f912f38cbd94c6b1e446a0
- Size of remote file:
- 27.3 MB
- SHA256:
- 62e3de56cf46f4b7506d2d3b8517290feaf6662dcf79a2768757167c1d67f6b6
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