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:
- a0bf7010e13aae49afbc9e89b24243d585b40372aa0da207fb2789360b74f1bd
- Size of remote file:
- 32.8 MB
- SHA256:
- 37e765cad03756cccb877cf97cfb90a35a5e0029a88683830e5a0e4efbc55c8a
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