Instructions to use huggingkot/Nano_Imp_1B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/Nano_Imp_1B-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:
- 26c906a5d75d632ffe9caf3f171350fdb5fa434726b410df341b3377a56f87ef
- Size of remote file:
- 16.8 MB
- SHA256:
- 64a308e60e80f0805a34fbff0201b96f3fe217eda73ddf787647ad5a0732716f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.