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:
- 1fe5cee85e4db5dec4de1ccd7fab46994e42fac9044988e9a5489e64b3768e94
- Size of remote file:
- 33.4 MB
- SHA256:
- 261cf9ca04cd9806c8367275937d55d63a49d17b016a7e6abcb5fd72627abf7a
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