Instructions to use mlc-ai/CodeLlama-70b-Python-hf-q4f16_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-70b-Python-hf-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:
- 89431d3404b2b27d35a24454900cafd542f2a3daf132c5b8c0c61285e126be6b
- Size of remote file:
- 41.9 MB
- SHA256:
- a476b52ad02c855aeb3dc1044e242b13b974d46350cf2ba5dcfd967db6f52c2f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.