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:
- 4d78667a85f6f6eb2999bb9b5ae2aa389d7abb5cf59a9fe8195ea0d70d66c69c
- Size of remote file:
- 30.7 MB
- SHA256:
- b8d5542e408d4cbf30b1b807a7dd319d78cada167332d67da1aaa4490d6c4f1b
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