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:
- e9e97058c3500e10870e43f38543a0332fded206c5995d76fa4af89033e012ca
- Size of remote file:
- 29.4 MB
- SHA256:
- 0e2dbd3b2b09ecc6eb1b1e6801d1e5614871643d05c2517f5347ebbe6d62bade
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.