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. …
Search
Filtered by topic: Google Gemma Clear ✕
Related topics:
Google
Tracked topic
Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
Live now
"Opus 4.8 thinks too much", "Muse Glimmer sits between Gemma and Qwen, that's boring", "Gemma 4 is too lazy"
Live sources:
r/LocalLLaMA
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. …
Gemma 4 sees, hears, and reads on my 16GB laptop, and it never phones home
… Here's why Gemma 4 is my personal "jack of all trades". Gemma 4 may be the only local model you need For most users, it does everything, and it does everything well Google has made a lot of progress in the AI space in the past few years. …
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. …
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 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. …
Gemma 4 E4B is small enough to run anywhere, but powerful enough to handle typical LLM workloads
… As a result, Gemma 4 E4B performs exceedingly well on weak systems. Considering that my Raspberry Pi 5 8GB has trouble loading 6B and even certain 5B models, the fact that Gemma 4 E4B works on the SBC is pretty incredible. …
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 tested Gemma 4, Qwen 3.5, and Ministral 3 for vision tasks, and only one understood the assignment
… Gemma 4 E4B and its small brain Gemma 4 E4B is one of my favorite little models , and I've been running it in one form or another for a hot minute now. It's Google's edge-tier multimodal, around 4B effective parameters, built to run on phones and low-end hardware. …
Gemma 4's smallest model runs on 3GB of VRAM, and it's the one I actually reach for
… Google built a model that fits almost everywhere And the small footprint comes from the architecture, not by compromising on brain power Gemma 4 E2B is the smallest variant in Google's Gemma 4 family , and the "E" stands for effective, because the model is technically larger than the 2B in its name… …