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:
- 362a5247b0205321ea50da9346c6fa3b94ab0dd0c35a8606c2e136db1c18b811
- Size of remote file:
- 25.2 MB
- SHA256:
- 02bfdd4147c97cf83d26c049b1361e853a74a8dd43095e7a761280ae41af6167
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