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:
- 8ade8eb519c648363b01880cc2a3c6123a15067e966f433745e8d40224d19a94
- Size of remote file:
- 33.3 GB
- SHA256:
- 87f275f1fc87eb97e1010dab8a08788ad7eb59ed82f0d091f12044624f44fb2d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.