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:
- 0996a491cd4c1bfd1e1c15eba36073a5849dcca2d7555598b0ad49dd2a850a2f
- Size of remote file:
- 25.2 MB
- SHA256:
- f0942d174df3a7be1676f0fea77b50fcf56a20d0b18fae6889120b717d25f3a7
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