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OpenAI Releases Two Open-Weight Models for Offline AI Deployment

It seeks to accelerate community-driven AI innovation by enabling free offline local deployment under Apache 2.0

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Overview

  • OpenAI has released gpt-oss-120b and gpt-oss-20b under an Apache 2.0 license, marking its first open-weight models since GPT-2
  • Both models are available for free download on Hugging Face, GitHub and major cloud platforms, supporting offline inference without sending data to external servers
  • gpt-oss-120b delivers reasoning performance on par with OpenAI’s o4-mini on a single 80 GB GPU; gpt-oss-20b matches o3-mini benchmarks on devices with just 16 GB of memory
  • The release is designed to democratize AI by broadening access for developers and organizations and fostering new research and product innovation
  • OpenAI partnered with Nvidia, AMD, Cerebras and Groq to optimize hardware compatibility and led extensive security evaluations, including filtering sensitive data and simulating adversarial fine-tuning to mitigate misuse