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:
- c8de2b3326b915ac57f0fa21b7af1a890d159d6b7ee0a9a38c3eff4b75ac236c
- Size of remote file:
- 22 MB
- SHA256:
- 219b1faad6348985805a9ff8aa2ef80b48fc3119d335439e31563c5af6800a90
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