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:
- e8f59600fdebd0e5a71131836656eb6332ee05bcd1adc8fb17e723037d03f2a5
- Size of remote file:
- 788 MB
- SHA256:
- 8c25862af666c12e7f95395e64d675b8294407af9b9df365c5f5a6b46d6ef938
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.