Instructions to use mlc-ai/CodeLlama-7b-hf-q4f32_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/CodeLlama-7b-hf-q4f32_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:
- 212568b6282b37a17c6df080a8f9fb065cd5d9aa7809b7845bd045f584d3f9d3
- Size of remote file:
- 45.1 MB
- SHA256:
- 6904d88dc92ce00a4c7c8f30cf7dea0be923b3c4767afb1447e9e5c621cd1020
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.