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:
- 346212fa936e2c761b92c5cf94f8b4acabc10ce990ce2a6ad1958a16a43a368b
- Size of remote file:
- 33 MB
- SHA256:
- ad831729e1892908664e5dd71d704f53a30578cc08ad0f62469a034db467a78d
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