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:
- 18042d02faf4c905a36169dbee0218462a16d881e884519e5956056918bcf18a
- Size of remote file:
- 30.8 MB
- SHA256:
- 52f0e78151da7ce837d324e1ef22ea37b7898760bbc793294cea54ef93004b59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.