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:
- 498d2c20eafca989a27bb7d3958a663da5f0fa923c4af1d249e9384c70bf4fd1
- Size of remote file:
- 25.2 MB
- SHA256:
- 3d81500ddfc97507c7e1296e9b0f8fd55741a9eecc19e845ac1db7db4e2f3336
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