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:
- 57a075d1533a9c00f540d0e9b8eb61f5de3838cee71fb5ffbfd24ca8023b8394
- Size of remote file:
- 30.9 MB
- SHA256:
- 777c0202ba42aa75dfa4b028c357f5db41477c497a246919db8ab415d2fee592
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.