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:
- a8b2734310f1b9cebab24b02c5e492d127e0574f460c6224dd6e6f524e185e9c
- Size of remote file:
- 29.4 MB
- SHA256:
- fd6c7b94114a7c800970d77ea01f64783a0fd82714771613cc325444af88f9c7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.