Instructions to use huggingkot/Qwen2.5-Coder-14B-Instruct-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use huggingkot/Qwen2.5-Coder-14B-Instruct-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:
- 72a261eb88ed98da94ea54b6ae6b0edb6d244742d7f48429f5b3f47f7cf6af86
- Size of remote file:
- 48.7 MB
- SHA256:
- bea15c350b332dfe708fbc7b72dfbdca58288660c30158d355975dabd3bac175
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.