Google's Gemma Already Acts Like Gemini—Someone Made It Think Like Claude Opus Too

Dijital varlık piyasalarında kritik bir gelişme söz konusu. Google's Gemma Already Acts Like Gemini—Someone Made It Think Like Claude Opus Too Price data by News Artificial Intelligence Google's Gemma Already Acts Like Gemini—Someone Made It Think Like Claude Opus Too Jackrong, the developer behind Qwopus, has released Gemopus—a family of Claude Opus-style fine-tunes built on Google's open-source Gemma 4, putting all-American AI in your pocket and on your potato PC. By Jose Antonio Lanz Edited by Guillermo Jimenez Apr 14, 2026 Apr 14, 2026 5 min read Image: Shutterstock/ Create an account to save your articles. Add on Google Add as your preferred source to see more of our stories on Google.

If you've been following the local AI scene, you probably know Qwopus —the open-source model that tried to distill Claude Opus 4. 6's reasoning into Alibaba's Qwen, so you could run something resembling Opus on your own hardware for free. It worked surprisingly well.

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The obvious catch: Qwen is a Chinese model, and not everyone is comfortable with that. Jackrong, the same pseudonymous developer behind that project, heard the feedback. His answer is Gemopus —a new family of Claude Opus-style fine-tunes built entirely on Google's open-source Gemma 4.

All-American DNA, same idea: frontier-level reasoning, running locally on hardware you already own. The family comes in two flavors. Gemopus-4-26B-A4B is the heavier option—a Mixture of Experts model that has 26 billion total parameters but only activates around 4 billion during inference, which means it punches well above its weight on constrained hardware.

Parameters are what determine an AI's capacity to learn, reason, and store information. Having 26 billion total parameters gives the model a huge breadth of knowledge. But by only "waking up" the 4 billion parameters relevant to your specific prompt, it delivers the high-quality results of a massive AI while remaining lightweight enough to run smoothly on everyday hardware.

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The other is Gemopus-4-E4B , a 4-billion parameter edge model engineered to run comfortably on a modern iPhone or a thin-and-light MacBook—no GPU required. The base model choice matters here. Google's Gemma 4, released on April 2, is built directly from the same research and technology as Gemini 3—the company said so explicitly at launch.

That means Gemopus carries something no Qwen-based fine-tune can claim: The DNA of Google's own state-of-the-art closed model under the hood, wrapped in Anthropic's thinking style on top. The best of both worlds, more or less. What makes Gemopus different from the wave of other Gemma fine-tunes flooding Hugging Face right now is the philosophy behind it.

Jackrong deliberately chose not to force Claude's chain-of-thought reasoning traces into Gemma's weights—a shortcut most competing releases take. His argument, backed by recent research, is that stuffing a student model with a teacher's surface-level reasoning text doesn't actually transfer real reasoning ability. It teaches imitation, not logic.

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