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README.md
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<p align="center">
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<a href="https://gpt-oss.com"><strong>Try gpt-oss</strong></a> ·
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<a href="https://cookbook.openai.com/topic/gpt-oss"><strong>Guides</strong></a> ·
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<a href="https://
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<a href="https://openai.com/index/introducing-gpt-oss/"><strong>OpenAI blog</strong></a>
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</p>
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Both gpt-oss models can be fine-tuned for a variety of specialized use cases.
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This smaller model `gpt-oss-20b` can be fine-tuned on consumer hardware, whereas the larger [`gpt-oss-120b`](https://huggingface.co/openai/gpt-oss-120b) can be fine-tuned on a single H100 node.
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<p align="center">
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<a href="https://gpt-oss.com"><strong>Try gpt-oss</strong></a> ·
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<a href="https://cookbook.openai.com/topic/gpt-oss"><strong>Guides</strong></a> ·
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<a href="https://arxiv.org/abs/2508.10925"><strong>Model card</strong></a> ·
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<a href="https://openai.com/index/introducing-gpt-oss/"><strong>OpenAI blog</strong></a>
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</p>
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Both gpt-oss models can be fine-tuned for a variety of specialized use cases.
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This smaller model `gpt-oss-20b` can be fine-tuned on consumer hardware, whereas the larger [`gpt-oss-120b`](https://huggingface.co/openai/gpt-oss-120b) can be fine-tuned on a single H100 node.
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# Citation
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```bibtex
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@misc{openai2025gptoss120bgptoss20bmodel,
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title={gpt-oss-120b & gpt-oss-20b Model Card},
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author={OpenAI},
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year={2025},
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eprint={2508.10925},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2508.10925},
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}
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```
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