Instructions to use mlc-ai/CodeLlama-70b-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-70b-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
Download params_shard_122.bin from mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 29.4 MB
-
https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/resolve/main/params_shard_122.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/params_shard_122.bin
-
curl -L -o params_shard_122.bin https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/resolve/main/params_shard_122.bin
29.4 MB
- Xet hash:
- ea854250faa6c4162e5d30c419db2d93fd4c95ba23c3bf4a1f8a200c3c7f60ae
- Size of remote file:
- 29.4 MB
- SHA256:
- 046ea4dba7d000a1051cd7ae7f995a0aecd3a17bf886bb6c62fdc8288e3300fe
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