{"rewrite":{"id":"r_4502bf1d873f004b99747d41","clusterId":"c_f42ad8f4fb74b13c990b856b","slug":"google-releases-gemma-4-12b-a-free-ai-model-that-runs-on-laptops","model":"deepseek-v4-flash","headline":"Google Releases Gemma 4 12B, a Free AI Model That Runs on Laptops","summary":"Google released the Gemma 4 12B open AI model on June 3, 2026. The model runs on PCs with 16GB of VRAM or unified memory, supports image and audio input natively, and is free under the Apache License 2.0. It fills the gap between Google's edge-device models and its high-performance PC models.","whyItMatters":"Gemma 4 12B brings a high-performance, multimodal AI model to consumer laptops without requiring cloud access, and its direct audio processing reduces latency and memory use.","webCardHtml":"\u003cp\u003eGoogle released the Gemma 4 12B open model on June 3, filling the gap between the edge-device E4B and the high-performance 26B A4B models released in April. The model requires 16GB of VRAM or unified memory, putting it within reach of many laptops. It processes images and audio directly without an encoder, cutting latency and memory consumption. In benchmarks, Gemma 4 12B scored close to the larger 26B A4B and surpassed it in some tests. The model is free under the Apache License 2.0 and is already supported by LM Studio and ollama.\u003c/p\u003e","blueskyPost":"Google released Gemma 4 12B, a free open AI model that runs on laptops with 16GB VRAM. It handles image and audio input natively, no encoder needed. Already on Hugging Face and supported by LM Studio and ollama.","twitterPost":"Google released Gemma 4 12B, a free open AI model that runs on laptops with 16GB VRAM. It handles image and audio input natively, no encoder needed. Already on Hugging Face and supported by LM Studio and ollama.","threadsPost":null,"newsletterBlurb":"Google released Gemma 4 12B, a free open AI model that runs on laptops with 16GB of VRAM or unified memory. It handles image and audio input natively, reducing latency and memory use. The model is available under the Apache License 2.0 and is already supported by LM Studio and ollama.","attributionJson":"[{\"source\":\"GIGAZINE\",\"url\":\"https://gigazine.net/news/20260604-google-ai-gemma-4-12b/\",\"title\":\"Google Releases Free AI Model 'Gemma 4 12B' That Runs on Laptops, Requires 16GB VRAM\"}]","lintFlagsJson":null,"lintHits":0,"costUsd":0,"inputTokens":4080,"outputTokens":582,"status":"published","repairAttempts":0,"nextRepairAt":null,"factsAttemptedAt":1780539623,"createdAt":"2026-06-04T02:12:29.000Z","publishedAt":"2026-06-04T02:16:19.000Z","updatedAt":"2026-06-04T02:16:19.000Z"},"cluster":{"id":"c_f42ad8f4fb74b13c990b856b","canonicalTitle":"GoogleがノートPCで実行可能なAIモデル「Gemma 4 12B」を無料公開、16GBのVRAMがあれば実行可能","representativeArticleId":"a_e5b7e58918f3bec73706d982","sourceCount":2,"writtenSourceCount":1,"writeAttempts":0,"isSolo":false,"entitiesJson":"{\"anime_titles\":[],\"manga_titles\":[],\"work_titles\":[],\"studios\":[],\"people\":[],\"type\":\"news\",\"domain\":\"other\",\"is_roundup\":false}","contentType":"news","status":"published","firstSeenAt":"2026-06-04T01:36:00.000Z","lastSeenAt":"2026-06-05T02:00:04.000Z","updatedAt":"2026-06-05T02:10:41.000Z"},"attribution":[{"source":"GameBusiness.jp","url":"https://www.gamebusiness.jp/article/2026/06/05/27125.html","title":"16GB RAMで高性能エージェントが動くGemma 4 12B、Google DeepMindが公開―26B MoEに迫る推論性能、エンコーダなしのマルチモーダル"},{"source":"GIGAZINE","url":"https://gigazine.net/news/20260604-gemma-4-12b-encoder-free/","title":"ノートPCで動くGoogle製「Gemma 4 12B」がエンコーダー不要で画像＆音声を処理する仕組みとは？"}],"entities":{"anime_titles":[],"manga_titles":[],"work_titles":[],"studios":[],"people":[],"type":"news","domain":"other","is_roundup":false},"keyFacts":["Google released the Gemma 4 12B open model on June 3, 2026.","The model runs on PCs with 16GB of VRAM or unified memory.","It processes images and audio directly without an encoder, reducing latency and memory use.","In benchmarks, Gemma 4 12B scored close to the larger 26B A4B model and surpassed it in some tests.","The model is free under the Apache License 2.0 and is supported by LM Studio and ollama."]}