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:
- fff5e890b9d7cfb73e0ed231067a87350ae6808666d45124da422c8f5dc2d891
- Size of remote file:
- 25.2 MB
- SHA256:
- d5d38da2d761f4a5f0f78165b5eab809a31b655f650c4060c6a7ac1006bdbf34
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