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:
- c6fcc4ed9f79b446de00ae9f898450dcfc2b709839755d5e71be658e1a30bc09
- Size of remote file:
- 29.4 MB
- SHA256:
- dea5891cbc62fa315f62a0a9a48432697ae06571f4e0324a2097ab89b8488115
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