Instructions to use huggingkot/Dolphin3.0-Qwen2.5-3b-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-Qwen2.5-3b-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:
- 4d1bdd836b16f319e55008beb18ff3258147aaa43f8c77795e6914efd987b34d
- Size of remote file:
- 22.5 MB
- SHA256:
- 9bf2d666d5f30144d9f8976292633017ee7758a377c438e6dc33561358a953b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.