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:
- 7d97f9a7e676d0b988125da732f3f347403b6722e6f2217e80d64cdb493e955f
- Size of remote file:
- 32.8 MB
- SHA256:
- b1b218982075d20f9a454f45fc7ddc2de92a7fb737b357f70d7addf6af2e6ffa
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