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:
- 989826b32c377034a53a2cac829d67f8fb206a95860381845308ad60439243c0
- Size of remote file:
- 58.7 MB
- SHA256:
- 88411e57c13f0d33233af6f7cdaafbaed96f6b7403216f4051931b1140878577
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.