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:
- 23c989667514215a1d575b176df39f4e94ae4779d2447c7d3299fd5c2a9e15ba
- Size of remote file:
- 29.4 MB
- SHA256:
- 678ed15548f23f1f3ceb11fa08d21a58d733c7fa901663f34a3b29c54eae2130
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