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:
- 66c31687b6168570aad095989f3a117f941e392b31961ea51caf3ceb4de11374
- Size of remote file:
- 25.2 MB
- SHA256:
- 4419187dba8922c679c4a502159d40b727a4d16259572ab4d8203f47fed4c863
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