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_11.bin from mlc-ai/CodeLlama-70b-Python-hf-q4f32_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 131 MB
-
https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f32_1-MLC/resolve/main/params_shard_11.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-70b-Python-hf-q4f32_1-MLC/params_shard_11.bin
-
curl -L -o params_shard_11.bin https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f32_1-MLC/resolve/main/params_shard_11.bin
131 MB
- Xet hash:
- fa7bc889fcda34ac276775ce2ddc853afd5514e2fe3907345769608d0130558b
- Size of remote file:
- 131 MB
- SHA256:
- 2390a2cf7f300d960b5b4a84bfc397f4143ade84ed864598691acdefaf64af9d
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