Instructions to use mlc-ai/CodeLlama-34b-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-34b-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_127.bin from mlc-ai/CodeLlama-34b-Python-hf-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 32 MB
-
https://huggingface.co/mlc-ai/CodeLlama-34b-Python-hf-q4f16_1-MLC/resolve/main/params_shard_127.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-34b-Python-hf-q4f16_1-MLC/params_shard_127.bin
-
curl -L -o params_shard_127.bin https://huggingface.co/mlc-ai/CodeLlama-34b-Python-hf-q4f16_1-MLC/resolve/main/params_shard_127.bin
32 MB
- Xet hash:
- d4cdc3825301393b411e2e764976aa8269c60f45fede715fa79766dcef24abc0
- Size of remote file:
- 32 MB
- SHA256:
- 1460b639cf816b0ac09493e9532219b8f57fcf1e65efd8f0e19424551f7c87f4
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