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:
- e1c088249ab1418128ab5c1116bb66968cc1b64e76819a415b4d0cc833769e98
- Size of remote file:
- 33.4 MB
- SHA256:
- 6ab357e625d482d1e162f4d3c990e302c87d9e966ce63926151cde5a5ed9255f
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