Instructions to use huggingkot/Control-Nanuq-8B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/Control-Nanuq-8B-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:
- d6bbaafed9db8017f8a5b8c43bd3c19959fa19c349eae0dddfa77145800bca67
- Size of remote file:
- 22 MB
- SHA256:
- dfd85f427bcf6cf09f549c180f49d55cf1df91e609eb182ea7ac1795d82764a8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.