Instructions to use welcoma/Ternary-Bonsai-1.7B-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-1.7B-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:
- f45c4567bbf1d9705464fefa2df017bcc905290efbb304e11b59897f4a12151d
- Size of remote file:
- 33.4 MB
- SHA256:
- 045e62fb6bb3acb9bc20d42350770ea58c3ffd8b1902411131517d2710e2801c
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