Instructions to use huggingkot/Dolphin3.0-Llama3.2-1B-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/Dolphin3.0-Llama3.2-1B-q4f16_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:
- 5c958ece46038188d6109767c045efae36e7956bd762f1a4584d456fa20e1e47
- Size of remote file:
- 31.9 MB
- SHA256:
- 4117b5cc33f3e50da2b1ac339b3f1852dba9acc2b2c5656529d32e8817e908ba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.