Instructions to use mlc-ai/CodeLlama-7b-Python-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-Python-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:
- 49164ec040794b3480c63318b051cc0752f7f7988f1ae31ca0ed2328484f6008
- Size of remote file:
- 45.1 MB
- SHA256:
- 6464da9644bf5917c788f8affebea946e407bb76a5bc62bea1a14668e41f3264
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.