Instructions to use mlc-ai/CodeLlama-7b-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-7b-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:
- 00483712d859f73c10052c38429aafe8715f6bd51a2d830ebd3e69d66b24c988
- Size of remote file:
- 45.1 MB
- SHA256:
- 9418d60d9a3fc16ae2e3b163d8d04131de6873c73e9ec8384881519feeea6f30
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.