Instructions to use welcoma/Ternary-Bonsai-1.7B-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-1.7B-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:
- bd5ecf1030eb98ab66e161721559243c0f029a1ae58ac766f8fd1bfffd39959e
- Size of remote file:
- 33.4 MB
- SHA256:
- f54ec7e1c4e578940189c504938c0f9d607bf4b2bbfebb6724d4def9e9afac84
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