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:
- 86f3a7a3502e2f6e6e7c3823d56f968147463e6dbe90b3cb0c50566b4a595432
- Size of remote file:
- 25.2 MB
- SHA256:
- b5606bcc907c1300bd5ca962cacc932a3fbf136531b65a3c4d628fdbe5c8d1c0
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