{"id":34864,"date":"2026-06-06T13:00:47","date_gmt":"2026-06-06T04:00:47","guid":{"rendered":"https:\/\/jore2.com\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency\/"},"modified":"2026-06-06T13:00:47","modified_gmt":"2026-06-06T04:00:47","slug":"ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency","status":"publish","type":"post","link":"https:\/\/jore2.com\/?p=34864","title":{"rendered":"3.2GB\ub85c \ub05d\ub0b4\ub294 \ubaa8\ubc14\uc77c AI, Gemma 4 QAT\uac00 \ub728\ub294 \uc774\uc720"},"content":{"rendered":"<div class=\"jore2-editor-byline\">\n<p><strong>\uc784\ud0dc\uc131<\/strong><\/p>\n<\/div>\n<p>\ucd5c\uadfc \uae00\ub85c\ubc8c \uac1c\ubc1c\uc790 \ucee4\ubba4\ub2c8\ud2f0\uc5d0\uc11c 3GB \ub300\uc758 \uacbd\ub7c9 AI \ubaa8\ub378\uc774 \ud654\uc81c\ub97c \ubaa8\uc73c\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uad6c\uae00\uc774 \uacf5\uac1c\ud55c Gemma 4 QAT \ubaa8\ub378\uc774 \ubaa8\ubc14\uc77c\uacfc \ub178\ud2b8\ubd81 \ud658\uacbd\uc5d0\uc11c\ub3c4 \ub192\uc740 \ud6a8\uc728\uc744 \ubcf4\uc774\uba70 \uc8fc\ubaa9\uc744 \ub04c\uace0 \uc788\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.<\/p>\n<p>\uae30\uc874\uc5d0\ub294 \ubb34\uac70\uc6b4 \ubaa8\ub378\uc744 \ud074\ub77c\uc6b0\ub4dc\uc5d0 \uc758\uc874\ud574\uc57c \ud588\uc9c0\ub9cc, \uc774\uc81c\ub294 \uae30\uae30 \uc790\uccb4\uc5d0\uc11c \uc2e4\uc2dc\uac04 \ucd94\ub860\uc774 \uac00\ub2a5\ud574\uc84c\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ud2b9\ud788 \ud574\ucee4\ub274\uc2a4\ub97c \uc911\uc2ec\uc73c\ub85c \ud55c \uae30\uc220 \ucee4\ubba4\ub2c8\ud2f0\uc5d0\uc11c\ub294 Unsloth \uc774 \ucee4\ubba4\ub2c8\ud2f0\uac00 \uacf5\uac1c\ud55c \uc591\uc790\ud654 \ubaa8\ub378\uc758 \uc131\ub2a5\uc5d0 \ub300\ud55c \ub17c\uc758\uac00 \ud65c\ubc1c\ud569\ub2c8\ub2e4. \ube44\uc591\uc790\ud654 \uc0c1\ud0dc\uc778 BF16 \ubaa8\ub378\uacfc \ube44\uad50\ud588\uc744 \ub54c \uc815\ud655\ub3c4\uac00 \uac70\uc758 100% \uc5d0 \uadfc\uc811\ud55c\ub2e4\ub294 \ud3c9\uac00\uac00 \ub098\uc624\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc2ec\uc9c0\uc5b4 \uad6c\uae00\uc774 \uc9c1\uc811 \uacf5\uac1c\ud55c \uc6d0\ubcf8 QAT \ubaa8\ub378\ubcf4\ub2e4 Unsloth \uac00 \ucd5c\uc801\ud654\ud55c \ubc84\uc804\uc774 \ub354 \ub098\uc740 \uc131\ub2a5\uc744 \ubcf4\uc778\ub2e4\ub294 \ubd84\uc11d\ub3c4 \ub4f1\uc7a5\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc2e4\uc81c \uc0ac\uc6a9 \uc0ac\ub840\ub3c4 \ube60\ub974\uac8c \ud655\uc0b0\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub9e5\ubd81 \uc0ac\uc6a9\uc790\ub294 3.2GB \uc6a9\ub7c9\uc758 \ubaa8\ub378\ub85c \ud3a0\ub9ac\ucee8\uc774 \uc790\uc804\uac70\ub97c \ud0c0\ub294 SVG \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud558\uac70\ub098, \uc774\ubbf8\uc9c0\uc640 \uc624\ub514\uc624 \ud30c\uc77c\uc744 \uc785\ub825\ubc1b\uc544 \ud14d\uc2a4\ud2b8\ub85c \ubcc0\ud658\ud558\ub294 \uc791\uc5c5\uc744 \uc131\uacf5\uc801\uc73c\ub85c \uc218\ud589\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc6f9 \uac80\uc0c9\uc774\ub098 \uad6c\uc870\ud654\ub41c JSON \ub370\uc774\ud130 \ucd9c\ub825 \uac19\uc740 \uc791\uc5c5\uc740 \uc2a4\ub9c8\ud2b8\ud3f0\uc5d0 \ubaa8\ub378\uc744 \ub0b4\uc7a5\ud55c \uc0c1\ud0dc\uc5d0\uc11c\ub3c4 \uc6d0\ud65c\ud558\uac8c \ucc98\ub9ac\ub429\ub2c8\ub2e4.<\/p>\n<p>\uc774\ub7ec\ud55c \uae30\uc220\uc801 \uc9c4\ubcf4\ub294 \uace7 \ub2e4\uac00\uc624\ub294 \uc560\ud50c\uc758 WWDC \ud589\uc0ac\uc640\ub3c4 \ub9de\ubb3c\ub824 \uc788\uc2b5\ub2c8\ub2e4. \uad6c\uae00\uacfc \uc560\ud50c\uc774 \uc2dc\ub9ac \uac1c\uc120\uc744 \uc704\ud55c \ud30c\ud2b8\ub108\uc2ed\uc744 \ub9fa\uc5c8\ub2e4\ub294 \uc18c\uc2dd\uc774 \uc804\ud574\uc9c0\ub294 \uac00\uc6b4\ub370, \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0 \ucd5c\uc801\ud654\ub41c \uacbd\ub7c9 \ubaa8\ub378\uc758 \ub4f1\uc7a5\uc740 \uc608\uc0c1\uce58 \ubabb\ud55c \uc2dc\ub108\uc9c0\ub97c \ub0b3\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ud558\ub4dc\uc6e8\uc5b4 \uc81c\uc57d\uc774 \ud070 \ud658\uacbd\uc5d0\uc11c\ub3c4 \uace0\ub3c4\ud654\ub41c AI \uae30\ub2a5\uc744 \ub204\ub9b4 \uc218 \uc788\ub294 \ubb38\uc774 \uc5f4\ub9b0 \uc148\uc785\ub2c8\ub2e4.<\/p>\n<p>\uc55e\uc73c\ub85c \ubaa8\ubc14\uc77c \uae30\uae30\uc5d0\uc11c \uad6c\ub3d9\ub418\ub294 AI \uc758 \uc131\ub2a5\uacfc \uc6a9\ub7c9 \uade0\ud615\uc774 \uc5b4\ub5bb\uac8c \ubcc0\ud560\uc9c0 \uc9c0\ucf1c\ubcfc \ud544\uc694\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ub2e8\uc21c\ud55c \uc555\ucd95\uc744 \ub118\uc5b4 \uc2e4\uc81c \uc5c5\ubb34 \ud658\uacbd\uc5d0\uc11c \uc5bc\ub9c8\ub098 \uc720\uc6a9\ud558\uac8c \uc4f0\uc77c\uc9c0\uac00 \uad00\uac74\uc774 \ub420 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p>\uac1c\ubc1c\uc790\uc640 \uc77c\ubc18 \uc0ac\uc6a9\uc790 \ubaa8\ub450\uc5d0\uac8c AI \uc811\uadfc\uc131\uc774 \ud55c\uce35 \ub192\uc544\uc9c0\ub294 \uc804\ud658\uc810\uc774 \ub420 \uac83\uc73c\ub85c \ubcf4\uc785\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uace0\uc131\ub2a5 AI \ubaa8\ub378\uc744 \uc2a4\ub9c8\ud2b8\ud3f0\uacfc \ub178\ud2b8\ubd81\uc5d0\uc11c \uac00\ubccd\uac8c \uad6c\ub3d9\ud558\ub294 \uc2dc\ub300\uac00 \uc5f4\ub838\uc2b5\ub2c8\ub2e4. \uad6c\uae00\uc758 Gemma 4 QAT \ubaa8\ub378\uc774 \uc555\ucd95 \ud6a8\uc728\uc131\uc744 \uadf9\ub300\ud654\ud558\uba70 \uac1c\ubc1c\uc790\ub4e4\uc758 \uc8fc\ubaa9\uc744 \ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n","protected":false},"author":9,"featured_media":34863,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8858],"tags":[7,14567,24129,24128,17554],"class_list":["post-34864","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-ai","tag-gemma4","tag-unsloth","tag-24128","tag-17554"],"featured_image_urls":{"full":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency.png",1200,630,false],"thumbnail":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency-150x150.png",150,150,true],"medium":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency-300x158.png",300,158,true],"medium_large":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency-768x403.png",640,336,true],"large":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency-1024x538.png",640,336,true],"1536x1536":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency.png",1200,630,false],"2048x2048":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency.png",1200,630,false],"morenews-large":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency-825x575.png",825,575,true],"morenews-medium":["https:\/\/jore2.com\/wp-content\/uploads\/2026\/06\/ai-11724-gemma-4-qat-models-optimizing-compression-for-mobile-and-laptop-efficiency-590x410.png",590,410,true]},"author_info":{"info":["\uc784\ud0dc\uc131"]},"category_info":"<a 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