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:
- d3c0ac097f9a48d09eea5dc3cefbd58b7ab69645e8f28a33e010bf52e5689f3b
- Size of remote file:
- 26.8 MB
- SHA256:
- a14edb073e93349826d4abde6c0ac7219e31d8d9b3782941ca5c7529c0c5aab7
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