Instructions to use welcoma/Ternary-Bonsai-8B-bonsai_tq_f32-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use welcoma/Ternary-Bonsai-8B-bonsai_tq_f32-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
- Xet hash:
- 28009a3471ee3f1883f8cfa49e62421a26038f2613d15b32363b6e1689801c26
- Size of remote file:
- 32.1 MB
- SHA256:
- 91cba60c8d6d191069157618a9524cc6e7f8533fdeca358ad1b236e9c298d8d3
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