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:
- 2def08a2da1ea0beadb2448436d2918dc3a44524586c08ba0a85e3e6bdd9f2ca
- Size of remote file:
- 25.2 MB
- SHA256:
- bcebe2b0dd1f83b8b4498177694c45c9c304d8d53602922c9d434b9b7f58bbd6
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