Instructions to use huggingkot/aya-expanse-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/aya-expanse-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:
- 529725254f288360451b67f8f30654bc9eccbcf3b4856e991df7de4572d1ba60
- Size of remote file:
- 29.4 MB
- SHA256:
- 4926f13da6a5807610ee9003736db68449725465c4cf876d631c4981240c7f74
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.