Instructions to use mlc-ai/CodeLlama-7b-Instruct-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-7b-Instruct-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_13.bin from mlc-ai/CodeLlama-7b-Instruct-hf-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 45.1 MB
-
https://huggingface.co/mlc-ai/CodeLlama-7b-Instruct-hf-q4f16_1-MLC/resolve/main/params_shard_13.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-7b-Instruct-hf-q4f16_1-MLC/params_shard_13.bin
-
curl -L -o params_shard_13.bin https://huggingface.co/mlc-ai/CodeLlama-7b-Instruct-hf-q4f16_1-MLC/resolve/main/params_shard_13.bin
45.1 MB
- Xet hash:
- 13d39ddfdda9f129210c5369975883c684ce5407af0c1beeb5d3a35a8187ac88
- Size of remote file:
- 45.1 MB
- SHA256:
- c0969d30523712d659ced13a8d0624c7f9ea70eb7061a4bf60e6b6994bb42596
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