Instructions to use huggingkot/L3-8B-Lunar-Stheno-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-Lunar-Stheno-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:
- 121797c5e7603deb014eaf99805c1358a4d6895c41b5a80d81a718578b58971d
- Size of remote file:
- 29.4 MB
- SHA256:
- 992b70e14b7c64fc23804782fc7dfa1025d769f4dd3f0d8ab2df87e048c41afa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.