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:
- 6819182c49090f3d4385841f8291f162db1420618b1321c1599f0196d77f3775
- Size of remote file:
- 28.3 MB
- SHA256:
- b46e559d547adf579201fe45ab185526edce6373e7ed375db0e68f49cefa41e6
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