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:
- ee9ffbeb97c1f39ac7b47f7c5e813aae54434eb6e95783d37759669753b2635e
- Size of remote file:
- 25.2 MB
- SHA256:
- 644c15f01fd7b43b7859677429e0337e4fa79aa69e6bed999231a1e7a37cbdc3
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