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:
- a8ba7470ed205d791e826c47ff31960b2e338dabb1b9c786cebf41d2923df3f0
- Size of remote file:
- 22 MB
- SHA256:
- b9d037fa09521ac746a83116cab5a88b78f6f0323e93e7f669af862903d43235
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