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:
- 368b953870215dbeff3a343b8560d0ea1718974bc207ddb4c3e7b2ea7967aef3
- Size of remote file:
- 27.3 MB
- SHA256:
- 64a96ffb33d072d38d803c186523ad228d756d33d14461cf7cd0ff80b59462c8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.