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:
- 1b54ea664418c6e88de1c9d0166704330ca6c638dde27a570ea05fbabe962ac0
- Size of remote file:
- 33.4 MB
- SHA256:
- e20f892f8331b854055d70eb2822b6ad760c243b997ecfbba41917880ae7e8b9
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