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:
- 241bb263b10d5a7a1a545f8ee578cc7242f8ca30d84f6a809dc569fcf1437d5c
- Size of remote file:
- 33.3 MB
- SHA256:
- 9e0da06c5567550dc1055ea1a8bbccc394f71728db097879ff40b0bb5eee0c38
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