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:
- 0a26f05893af922c847872d57699330b9cc4f6903c1a310dc15fb7f90e3e64d2
- Size of remote file:
- 25.2 MB
- SHA256:
- f45262418a1465af9c352e5f0a16304458cbf146be3e3ed9e5096c04e72cd9d0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.