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:
- b3feec13c5f854165e3e1829a3b9d3ab5277094aab65b9d03364624f0851308c
- Size of remote file:
- 30.9 MB
- SHA256:
- 640f2685d133ed820745b0bed995121178d4f2edcf9204bf7053203be4a1fe23
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.