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Gemma

Gemma

software

1 creator use or recommend it

1 recommend 11 mention 1 critical
Last discussed Nov 3, 2026

Google DeepMind's family of open AI models, small enough to run on your own computer.

What creators say

Greg Isenberg
recommends mentioned
Used for: Writing tasks on resource-constrained devices Praised: Runs remarkably small, fits in 16GB RAM, can run on phones, beautiful clean w...

"Gemma. This is Google's open model. This one runs remarkably small. There's actually a version that fits in 16 GB of RAM. And that one can fit on your phone. It's beautiful, clean writing. The fact that Google gives this away for free is actually ..."

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+1 more mention from Greg

"Google has Gemini, but they've also got Gemma, and Gemma's their open source."

"They asked Gemma, that's the model running on board, to write a haiku about being in space."

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+1 more mention from This

"I'm just worried that the models from Nvidia's Neatron family, the models from Google's Gemma family, aren't sufficient to replace what we have fro..."

ES
Eric Schmidt
mentioned 4
Praised: Very powerful for a smaller model, downloadable vs: Smaller than the Reflection AI and Nemotron models

"Google has something called Gemma 4, which is also very powerful, a smaller model. You can download these things."

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JM
Jeffrey Morgan
mentioned
Used for: Running AI models locally on devices Praised: Great for local deployment vs: Mentioned alongside Llama as a top choice for local model use

"We have the incredible models — the original Llama models of course, but also the Gemma models from DeepMind. These are great choices for local."

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CF
Chelsea Finn
mentioned
vs: Mentioned alongside open-source LLM releases as evidence that major AI compan...

"There are like Gemma for example — these companies like to support open source because it actually helps build the ecosystem around the things that they're building."

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Emad Mostaque
mentioned
vs: Positioned as the open-weight alternative to closed Gemini; speakers suggest ...

"Demis's quasi public apology for why Gemini itself wasn't open-weight — the claim was we would open-weight it, open source it if we had the compute, but we don't have the compute. So instead we only have the compute available for Gemma."

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Praised: Strong efficiency; appears on Pareto curves of performance vs. cost on Arena ... vs: Mentioned alongside Google and Nvidia as incumbent large open-source contribu...

"Google has Gemma as well. Gemma, by the way, is pretty good in terms of efficiency. If you look at Arena, you'll see that on the Pareto curves of performance versus cost, Gemma's on there."

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JS
Jon Saad-Falcon
mentioned
Used for: Benchmarked for intelligence per watt study

"We did about 20 plus different state-of-the-art local models across Gemma, GPT OSS, Qwen, IBM Granite, all in the range of one to 200 billion parameters."

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Peter Diamandis
mentioned 4
vs: Listed alongside Neatron as existing US open-weight models before Inkling

"We've got Google Gemma 4. But that changed last night with some breaking news."

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Alex Finn
mentioned 4
Used for: Embedding and memory management for agents on low-powered hardware vs: Not close to frontier intelligence; appropriate only for small tasks like emb...

"You can still run local models on them. There's options out there like Gemma 4, like a few other really small ones. They're not going to be anything close to frontier, but you can do small things like embedding."

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John Coogan
mentioned
Used for: Coding agent loops, agentic tasks in enterprise Praised: Agent-ready, can run coding agent loops, accomplish harder tasks, US-built vs: Mentioned as US alternative to Chinese open-weight models

"One of the most downloaded models on Ollama is a US model — it's the Gemma models. And this is like a super amazing team at DeepMind that's putting them out. The new ones are agent-ready. They can run coding agent loops. They can accomplish much h..."

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DH
Demis Hassabis
mentioned

"We are also pushing hard on a suite of open source models called Gemma which we're determined to make best-in-class for their sizes."

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AW

"I looked at the benchmark eval for it. It looks — I mean it's stronger than Gemma 4, but on the other hand that's not saying very much because Gemma 4 isn't that strong."

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