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:
- b64e93264d0648f0768d34d8df00035102fdff24e1fc1857a7fcc579a529ca39
- Size of remote file:
- 33.1 MB
- SHA256:
- 0388df9965cd79eeea88086df5110f3d65bcc0b99c8e9392ab5789cf6fc5b578
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