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:
- 1cb83a88738519005e7e4e1bb06a0695ef6bb39e875ecfc72aa106cb3a7b028a
- Size of remote file:
- 32.8 MB
- SHA256:
- 07a717c281cf5dbfb06e36c1aa549cfcbc81a564828da15d3937b4dbd3f69420
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