6 articles found
Google DeepMind’s Gemma 4 12B brings video, audio, and text processing to standard laptops with 16GB RAM. No cloud, no subscription, just pure local intelligence.
The merge of Gemma 4 MTP support into llama.cpp b9549 enables speculative decoding that doubles local inference speeds on consumer hardware. Real benchmarks from the community reveal surprising caveats.
Google DeepMind’s Gemma 4 12B kills separate vision and audio encoders, bringing native multimodal AI to 16GB laptops. We dig into the architecture, benchmarks, and why the community is begging for a 124B monster.
A technical teardown of Sparky, an autonomous suitcase robot built around a Jetson Orin NX SUPER 16GB that runs Gemma 4 E4B completely offline with ~200ms cached TTFT, zero network interfaces, and 30+ sensors fused directly into the prompt.
Technical analysis of how persistent jailbreak techniques continue to bypass safety filters on popular models despite manufacturer countermeasures.
Community-led torture testing reveals which open-weight model actually survives 100K token contexts without hallucinating or crawling at 0.6 tokens per second.