Instructions to use mlc-ai/DeepSeek-R1-Distill-Qwen-32B-q0f16-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/DeepSeek-R1-Distill-Qwen-32B-q0f16-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:
- 3dac1b7375e961a7ac2fd362ce3e4626306033fa6db96cf8ce4392111a7cdc1f
- Size of remote file:
- 52.4 MB
- SHA256:
- 47098092901a324a533420f22abd080c310b201ac10f56ae52f071d5bf059ed5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.