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OpenAI's New GPT-OSS Models are Here, and Ollama Lets You Run Them Locally

OpenAI’s New GPT-OSS Models are Here, and Ollama Lets You Run Them Locally

Posted on August 6, 2025 by webgrapple

The AI world is buzzing with excitement, and for good reason. OpenAI has just dropped its first open-weight models since the release of GPT-2 back in 2019. Meet gpt-oss-120b and gpt-oss-20b, two powerful new models that are set to change the game for developers. And the best part? Thanks to a partnership with Ollama, you can run them directly on your local machine.

Let’s dive in and explore what these new models are, what they can do, and why this is a massive deal for the developer community.

What Are GPT-OSS Models?

OpenAI’s new GPT-OSS lineup includes two models:

ModelSizeHardwarePerformance
gpt-oss-120b~117B parametersNeeds ~80 GB GPUMatches OpenAI’s o4-mini
gpt-oss-20b~20B parametersRuns on 16 GB consumer devicesComparable to o3-mini

These models are “open-weight” — meaning, you’re free to download, run, modify, and deploy them however you like.

Why “Open-Weight” Matters

Unlike proprietary models that live behind a paid API, GPT-OSS models give you:

  • Full transparency & control
  • Local, offline use for secure applications
  • Commercial freedom under the Apache 2.0 license

This isn’t just a release — it’s a signal that open AI is back.

Smarter Design: Mixture-of-Experts (MoE)

GPT-OSS models use a Mixture-of-Experts architecture, which activates only a subset of the model’s layers for each task.

Think of it like calling in the right specialist for the job — it’s faster, more memory-efficient, and just as powerful.

What Can You Actually Do With These Models?

Despite being text-only, GPT-OSS models excel at:

  • Complex reasoning
  • Code generation & debugging
  • Chain-of-thought prompting

They perform impressively on MMLU, Codeforces, and AIME — benchmarks that matter in real-world dev scenarios. And they’re ready to power tool-using agents, from AI assistants to internal knowledge systems.

Why Developers Are Choosing Ollama

You can run GPT-OSS on platforms like Hugging Face, AWS, Azure, and Databricks. But Ollama makes local deployment dead simple — even on your laptop.

Here’s what Ollama gives you:

  • Easy setup: No messy scripts or cloud infrastructure
  • Privacy-first: Your data never leaves your device
  • Zero API costs: Run the models as much as you like
  • Customization: Fine-tune and extend them your way

It’s the most developer-friendly way to explore local, powerful AI without the vendor lock-in.

Why This Is a Big Deal

If you’re a builder, researcher, or tinkerer, this release is a dream come true. You now have:

  • Total freedom to innovate
  • Private, offline capabilities
  • A strong foundation for AI agents
  • Tools to create internal copilots and assistants

This shift levels the playing field — allowing solo devs and small teams to build with state-of-the-art AI that previously required cloud infrastructure or API budgets.

Ready to Try It Yourself?

Official Ollama Blog Post:
https://ollama.com/blog/gpt-oss

Download GPT-OSS Models via Ollama Library:
https://ollama.com/library/gpt-oss

Happy Coding

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