Instructions to use mlc-ai/Llama-3-70B-Instruct-q3f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/Llama-3-70B-Instruct-q3f16_1-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:
- 75502254c43655f2261466f3c74ab46e6b4bbceeaec0a1619914a2ef7aced57b
- Size of remote file:
- 33.6 MB
- SHA256:
- c0e66551776be65fba011099fcba662beb8316e2646d6036f78c2748851102dd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.