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_21.bin from mlc-ai/CodeLlama-7b-Instruct-hf-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 25.2 MB
-
https://huggingface.co/mlc-ai/CodeLlama-7b-Instruct-hf-q4f16_1-MLC/resolve/main/params_shard_21.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-7b-Instruct-hf-q4f16_1-MLC/params_shard_21.bin
-
curl -L -o params_shard_21.bin https://huggingface.co/mlc-ai/CodeLlama-7b-Instruct-hf-q4f16_1-MLC/resolve/main/params_shard_21.bin
25.2 MB
- Xet hash:
- f221a55ee830657d04223141f1672252803cf76ed93736c2c98cc3cb9bee553c
- Size of remote file:
- 25.2 MB
- SHA256:
- b052d0e1ebbe2e4596daf63600151b1f672a1465259d814f77a01cdded2801cf
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