Instructions to use mlc-ai/Llama-3.2-3B-Instruct-q0f32-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Llama-3.2-3B-Instruct-q0f32-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:
- ee9a706120b95398dda7ec74956aaf93c46d83392be4021d71681e0b08baa8a9
- Size of remote file:
- 18.9 MB
- SHA256:
- 7fbe7a49ad748e331e61be4021b760be1d1bc318640412e2c4ddc3b7551966e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.