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:
- 65b37943cbf5b71b0d073c3cffcffd8aee11b200feb00cdab44fd0d48b8098ca
- Size of remote file:
- 33.4 MB
- SHA256:
- 80bb5e21b59ceccfb029ae6cb2c62db8b6ec6a69a6e8e5ac31974ec50cd270d7
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