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:
- a1ac9b252c595bf1fd11db694eea00d645518353652c6505ad51285e0c663c44
- Size of remote file:
- 25.2 MB
- SHA256:
- 90f2fde0188dac4a8592e39be060adf7bf45b6a215911244eb74ef3a75848dad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.