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:
- 65fc9fde2e52331b885450860cc27e9423b6b0b5524c13aefd91ed970736b4fc
- Size of remote file:
- 33 MB
- SHA256:
- dd175ceb79c6b08b34218386e7fef47cb8d94175c7163fd978eb9eb893178bfe
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