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:
- 5c89e78a1c6668e03639e948bc6a0d2f20c2caf02769461e99356954a6958e08
- Size of remote file:
- 33.4 MB
- SHA256:
- 47136fca5ae9104cc028db279fbaa0942212a355e070b01fcac1e1fb84e01308
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