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:
- 08e67a0f8d9be3cebc28e43b5073b10986f33d432bf0b55b558b70236dffec5d
- Size of remote file:
- 25.2 MB
- SHA256:
- ae86abcbd2cdf78523ec580266eab9c40b165503133778cd5267fc122f96bdfd
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