Instructions to use mlc-ai/CodeLlama-7b-Instruct-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-7b-Instruct-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_106.bin from mlc-ai/CodeLlama-7b-Instruct-hf-q4f32_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 25.2 MB
-
https://huggingface.co/mlc-ai/CodeLlama-7b-Instruct-hf-q4f32_1-MLC/resolve/main/params_shard_106.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-7b-Instruct-hf-q4f32_1-MLC/params_shard_106.bin
-
curl -L -o params_shard_106.bin https://huggingface.co/mlc-ai/CodeLlama-7b-Instruct-hf-q4f32_1-MLC/resolve/main/params_shard_106.bin
25.2 MB
- Xet hash:
- 3dd9efb2b443f2cf26398fb802ec6cdb08a4e722c72d0edf723e6560d6251033
- Size of remote file:
- 25.2 MB
- SHA256:
- 2d21baf3dcc718741c337eaf2f4c035994dcbd92666678c8fd0fedc30372206d
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