Instructions to use mlc-ai/CodeLlama-70b-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-70b-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
Download params_shard_120.bin from mlc-ai/CodeLlama-70b-Python-hf-q4f32_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 117 MB
-
https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f32_1-MLC/resolve/e1fd3c93006772b70f1d5338437ccc539d0583fe/params_shard_120.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-70b-Python-hf-q4f32_1-MLC@e1fd3c93006772b70f1d5338437ccc539d0583fe/params_shard_120.bin
-
curl -L -o params_shard_120.bin https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f32_1-MLC/resolve/e1fd3c93006772b70f1d5338437ccc539d0583fe/params_shard_120.bin
117 MB
- Xet hash:
- 24f2a64330c031405c270da1da1f9eae0ea649706437049bc0f3e36605d30dfa
- Size of remote file:
- 117 MB
- SHA256:
- db7fec66130e79da5466a835c69f87a8063f9729296176a2f7550ec84ea67803
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