Instructions to use huggingkot/OpenCAI-7B-V2-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/OpenCAI-7B-V2-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:
- 13354174423caf2a8faadb07457ee217a5e58e72f39173c54c0a61966509c972
- Size of remote file:
- 58.7 MB
- SHA256:
- 9012d45e0724fb9304858bd48b9fff703a50c0e66fc424436f867e9bfede5c47
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.