Instructions to use mradermacher/gpt-oss-120b-Derestricted-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/gpt-oss-120b-Derestricted-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/gpt-oss-120b-Derestricted-GGUF", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ead19b9d388d8c4ee6f37b2f0667886e35346f44f22a2e190076db39fb944ef
- Size of remote file:
- 33.3 GB
- SHA256:
- b64bc4cd0f715239125413fb669522d3126e34ffeb57f55f89104e985136b495
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.