Google's free Gemma 4 model runs on hardware you probably already own
… Related Google's Gemma 4 isn't the smartest local LLM I've run, but it's the one I reach for most Google's newest Gemma 4 models are both powerful and useful. …
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Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
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I tested Google's new Gemma 4 12B on my 8GB GPU, and now I don't want to go back to smaller models
… Google's new Gemma 4 12B is a pretty clean example of that direction . It was built with laptops and dedicated GPUs in mind, the stuff regular people actually own, and Google's been pushing the architecture as the main reason for that. …
Google's Gemma 4 finally made me care about running local LLMs
… That said, Google finally launched a model that pulled me back in and it's actually worth running. Google launched four new open-source models You don't need a home lab to use these models A few weeks ago, Google launched its newest family of open-source AI models : Gemma 4. …
I ran a powerful local AI model on my laptop, and it didn’t feel like a compromise
… Gemma 4 12B is the solution Right-sized architecture The arrival of Google DeepMind’s Gemma 12B changes the scenario. …
I finally found an open-source local LLM that actually competes with cloud AI
… Related Google's Gemma 4 isn't the smartest local LLM I've run, but it's the one I reach for most Google's newest Gemma 4 models are both powerful and useful. Open models got better when I wasn't looking Gemma 4 E4B wasn't what I expected from a free, local model. …
I ran Gemma 4 and Qwen 3.5 for the same local tasks, and one pulled miles ahead
… Gemma 4 is Google's open-weight family with four sizes - the E2B and E4B edge variants made for phones and laptops, plus the bigger 26B MoE and 31B dense models. …
I ran Gemma, Llama, and Qwen on my phone, and only one of them is worth the storage
… Gemma 4 E2B Starting with what I already knew Gemma 4 E2B is Google's edge-first model, designed from the start to actually run on a phone rather than being shrunk down from something bigger. …
I put Google's Gemma 4 on my homelab and Tailscale on my phone — and cancelled Claude Pro
… Then Google announced Gemma 4, and the reasons I'd left local AI behind began to fade. Not because it beats Claude Pro — it wasn’t even close — but because it replaced the part I was actually paying for. Gemma 4 e4b, a Docker container, and Tailscale on my phone — the subscription was gone. …
Google's Gemma 4 isn't the smartest local LLM I've run, but it's the one I reach for most
… Google's new Gemma 4 models don't eliminate that trade-off entirely, but it comes closer than anything else I've tried. What makes Gemma 4 different from previous open-weight releases is the sheer range of what Google shipped. …
I solved Gemma 4's biggest problem by routing it through Claude, and all it took was a Python script
… The obvious "fix" to this problem that immediately came to mind was to detect when Gemma was struggling and escalate from there. If Gemma expressed uncertainty, it was possible to intercept that response and forward the query to a cloud model like Claude. …