Instructions to use welcoma/Bonsai-1.7B-bonsai_q1_f32-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use welcoma/Bonsai-1.7B-bonsai_q1_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:
- b93479da9412491d4b00a9b157e669084a5c2eb54435e4d7fde40d36807514e4
- Size of remote file:
- 7.68 MB
- SHA256:
- 32a1ead43033fa1c263f5ba4e57fbead22d166459002aae8f9c5e4b566d86077
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