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Showing top 10 results for "Gemma releases" · filtered from 12 indexed

I thought I needed a GPU for local LLMs until I tried this lean model

… My real-life experience with Gemma 4 models Eye-opening adventure My journey into the Gemma 4 ecosystem didn’t start with the lightweight models — I actually went straight for the heavy hitter: 26B A4B. …

Apr 5, 2026 · Parth Shah

I finally found an open-source local LLM that actually competes with cloud AI

… It's under Apache 2.0, which is a bigger deal than it sounds - previous Gemma releases had Google's own restrictive terms attached, so this was the first time you could actually take the weights, fine-tune them, build something commercial, and not have to read the fine print. …

May 12, 2026 · Nolen Jonker

Google's Gemma 4 finally made me care about running local LLMs

… You can run Gemma 4 models on your phone or laptop for free It's easier than you think As I just mentioned above, Gemma 4 models have been intentionally engineered to get the most out of every parameter. …

Apr 18, 2026 · Mahnoor Faisal

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. …

Apr 15, 2026 · Adam Conway

I turned my phone into a local LLM server, and it handles vision, voice, and tool calls

… It's still more powerful and faster than Gemma E4B, but the fact it works at all here is impressive. It's still bleeding edge; while Gemma 4 E4B has a native audio conformer encoder, the support is very new. …

Apr 21, 2026 · Adam Conway

I ran Gemma 4 (26B) on a 10-year-old-GPU, and it's reliable enough to replace the cloud

… After increasing the RAM size to 24GB and restarting the llama.cpp server, Gemma 4 managed to hit a whopping 15 t/s! …

May 10, 2026 · Ayush Pande

I replaced the expensive Claude Pro subscription with these local models, and my productivity didn’t drop a bit

… Gemma 4 E4B The ‘everyday’ champion If Qwen3.6 is my heavy-duty engineer, Gemma 4 E4B is my nimble, everyday champion. …

Apr 21, 2026 · Parth Shah

I ran this bulky LLM on an SBC cluster, and it's the most unhinged setup I've ever built

… Turns out, the cluster’s performance was worse than a standalone SBC I blame slow network provisions for this bottleneck Since I was using the fairly lightweight Gemma 3 4B, I expected my cluster to perform somewhat better than just my Raspberry Pi. …

May 15, 2026 · Ayush Pande

Ollama is still the easiest way to start local LLMs, but it's the worst way to keep running them

… A Mistral B Gemma C GPT-4o D Llama 3 Exactly right! GPT-4o is a proprietary OpenAI model only accessible via the OpenAI API — it cannot be run locally through Ollama. Ollama supports open-weight models like Llama 3, Mistral, Gemma, and many others. …

Apr 8, 2026 · Adam Conway

High-VRAM GPUs aren't the future of local AI — unified memory and Mixture of Experts models are

… It beats Gemma 4 31B in both knowledge and in speed, and it beats Devstral 2 by virtue of being actually usable. Gemma 4 gets nothing for being small: it's middling on speed, and outclassed on capability. …

May 26, 2026 · Adam Conway

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