gpt-oss-safeguard-120b and
gpt-oss-safeguard-20b are safety reasoning models built-upon gpt-oss. With these models, you can classify text content based on safety policies that you provide and perform a suite of foundational safety tasks. These models are intended for safety use cases. For other applications, we recommend using
gpt-oss models.
This model
gpt-oss-safeguard-20b (21B parameters with 3.6B active parameters) fits into GPUs with 16GB of VRAM. Check out
gpt-oss-safeguard-120b (117B parameters with 5.1B active parameters) for the larger model.
Both models were trained on our
harmony response format and should only be used with the harmony format as it will not work correctly otherwise.
You can use gpt-oss-safeguard-120b and gpt-oss-safeguard-20b similar to gpt-oss-120b and gpt-oss-20b as described in our
respective cookbooks. We’ve also provided a detailed
prompting guide that provides guidelines for how to craft your policy and use it with the models.
To download the model weights from
Hugging Face hub using
similar instructions to gpt-oss-120b.
gpt-oss-safeguard is a model partner of the
Robust Open Online Safety Tools (ROOST) Model Community. The ROOST Model Community (RMC) is a group of safety practitioners exploring open source AI models to protect online spaces. As an RMC model partner, OpenAI is committed to incorporating user feedback and jointly iterating on future releases in pursuit of open safety. Visit the
RMC GitHub repo to learn more about this partnership and how to get involved.
