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:
- bf753cb455a212e74b8718dd1d266327639ebcbe9fb988d15b09877b4505bb43
- Size of remote file:
- 29 MB
- SHA256:
- 4681b7392a0742c4b1b79c6451352eca60b12470cf413b8f333d5cc3dbd52f25
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.