Instructions to use rohanprichard/Llama-3.2-1B-Instruct-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use rohanprichard/Llama-3.2-1B-Instruct-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:
- e397e5dd23ed91b450504aff5b7bac93a8876897431593f7f32620b4b5710c7d
- Size of remote file:
- 32.1 MB
- SHA256:
- 33067925a2ca9cee3bb23ae77b6166d82257a7cd1bc9e2dcab4e79299532ec3c
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