Instructions to use brimtown/Groupchat-Qwen2.5-0.5B-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use brimtown/Groupchat-Qwen2.5-0.5B-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:
- 93cc603d6ade7f77503aa2a9335e413e8368bc0b282a520c33a50065ac4fed29
- Size of remote file:
- 33.5 MB
- SHA256:
- 84f20e55b7cb1aa0535f4b6ab1c2d88f9de9adf49323a8f35d9174dadb66269e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.