Instructions to use Bojun-Feng/DeepSeek-R1-Distill-Qwen-32B-GGUF-llamafile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bojun-Feng/DeepSeek-R1-Distill-Qwen-32B-GGUF-llamafile with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bojun-Feng/DeepSeek-R1-Distill-Qwen-32B-GGUF-llamafile", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 7dc60dabfc4d3b925920158e4b89bb3107293bda8f74f23070e9d1819053a968
- Size of remote file:
- 34.8 GB
- SHA256:
- 5ab9793eb93997a5ddcbce6bb590f2ed987d903d496aa3c1cdb83ec1ff432537
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.