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:
- 54d0f5cbd5d8a1b64c39de62add92dd57a47417a7464b264b92b525f14419e78
- Size of remote file:
- 31.2 MB
- SHA256:
- b50205f01c40ba836979b104d34b5dc83d984eee1267f946777b88d9aaa79e4c
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