Instructions to use mlc-ai/Llama-3-8B-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-3-8B-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:
- 4da7514e1c2dbb81a054c90d093d6fc21168a745d408a6f4b9112fe78d65d49a
- Size of remote file:
- 50.3 MB
- SHA256:
- 1180f7018c4678639973de0d633c75fdfff235f23b9b8b536d4a76c2e21425d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.