**OpenAI has introduced two new open-weight models, called gpt-oss-safeguard (20b and 120b). Both models are designed for companies that prioritize safety.**
Image: Generated with AI
## The details
* The new gpt-oss-safeguard models come in two sizes (20b and 120b parameters). Both models are fine-tuned versions of the [gpt-oss](/openai-finally-releases-new-open-source-llms/) open models. The new models are available under the same permissive Apache 2.0 license as gpt-oss, which allows developers to use, modify, and deploy them freely.
* In addition, the new models use reasoning to directly interpret a policy provided by the developer at inference. The developer can always decide which policy to use, making the responses more relevant.
* According to OpenAI, the models use a chain-of-thought process that developers can review to understand how the model makes its decisions.
* OpenAI collaborated with ROOST to develop gpt-oss-safeguard. ROOST (Robust Open Online Safety Tools) is a nonprofit open-source initiative that develops and distributes accessible AI safety tools to help organizations build scalable, resilient, and responsible safety infrastructure.
* The gpt-oss-safeguard models are available via [Hugging Face](https://huggingface.co/collections/openai/gpt-oss-safeguard){:target="_blank" rel="noopener"} and [Ollama](https://ollama.com/library/gpt-oss-safeguard){:target="_blank" rel="noopener"}.
gpt-oss-safeguard on Ollama
**Our thoughts**
We have already tested gpt-oss in our [step-by-step guides](https://tinztwinshub.com/software-engineering/build-a-local-ai-agent-with-memory-using-agno-and-gpt-oss/) and think it is a great model for the open-source community. In addition, you can use gpt-oss-safeguard freely without copyleft restrictions or patent risk. That makes it ideal for experimentation, customization, and commercial deployment.
**More information:** 🔗 [OpenAI](https://openai.com/index/introducing-gpt-oss-safeguard/){:target="_blank" rel="noopener"}
## AI Tutorials for Devs
* [An Introduction to Anthropic’s Model Context Protocol (MCP) with Python](https://tinztwinshub.com/data-science/an-introduction-to-anthropic-model-context-protocol-mcp-with-python/)
* [Create a Local AgentOS with Agno in Under 30 Lines of Python Code](https://tinztwinshub.com/software-engineering/create-an-agent-os-with-agno/)
* [Building a Full-Stack Chatbot App in Python Using Reflex and Agno](https://tinztwinshub.com/software-engineering/building-a-full-stack-chatbot-app-in-python-using-reflex-and-agno/)
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