Instructions to use huggingkot/Qwen2.5-Coder-1.5B-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-1.5B-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:
- adad38932c34ee6ee8c5d172f7bafc40defa490d42e69f0a7f3836ff24b374b4
- Size of remote file:
- 7.03 MB
- SHA256:
- c0382117ea329cdf097041132f6d735924b697924d6f6fc3945713e96ce87539
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.