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:
- d855ea93cddeb35a1004274fe327b63230d5dcc49b95818f4ccfec7e330104d8
- Size of remote file:
- 22 MB
- SHA256:
- 9fd48fe27b1f25f866799b7c6dc8cd3e95a114bd8e5a2a27c3a6fcffe89ca51c
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