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:
- d640cf0d4dddf258f9c752139f6b07f8acc470111e3a17f3d616f8fc96804a4f
- Size of remote file:
- 25.2 MB
- SHA256:
- 392cbc6ea36c118c2f6bac75aad4bc63f7e059193981af77e5c4f6957c51806f
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