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:
- b4cebc38903ad7fb479bf6e7518f3c540272513d960d2e7f11cd57e8b5245133
- Size of remote file:
- 50.3 MB
- SHA256:
- 7e18e3ea31ee337242c56af8a37d2453cabec293988603e8748b7c592b38f55b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.