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:
- 38c621b05b82c8bb8f02519a6316686684d442b9fc8fa46bbe5d7058e8c4ec42
- Size of remote file:
- 29.4 MB
- SHA256:
- 5efc90a37992233d70486b270edfc7b1f15942e0992e1d469363a17415046575
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.