{"id":8395,"date":"2025-10-06T18:42:38","date_gmt":"2025-10-06T18:42:38","guid":{"rendered":"https:\/\/pokecon.jp\/job\/?p=8395"},"modified":"2025-10-06T18:42:38","modified_gmt":"2025-10-06T18:42:38","slug":"ai%e3%83%a2%e3%83%87%e3%83%ab%e3%81%ae%e3%83%a1%e3%83%a2%e3%83%aa%e4%bd%bf%e7%94%a8%e9%87%8f%e3%82%9260%ef%bd%9e70%ef%bc%85%e3%82%82%e5%89%8a%e6%b8%9b%e3%81%97%e5%ae%89%e4%be%a1%e3%81%a7%e4%bd%8e","status":"publish","type":"post","link":"https:\/\/pokecon.jp\/job\/8395\/","title":{"rendered":"AI\u30e2\u30c7\u30eb\u306e\u30e1\u30e2\u30ea\u4f7f\u7528\u91cf\u309260\uff5e70\uff05\u3082\u524a\u6e1b\u3057\u5b89\u4fa1\u3067\u4f4e\u6027\u80fd\u306a\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3067\u3082\u52d5\u4f5c\u3059\u308b\u3088\u3046\u306b\u3067\u304d\u308b\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u91cf\u5b50\u5316\u624b\u6cd5\u300cSINQ\u300d\u3092Huawei\u304c\u767a\u8868 – GIGAZINE"},"content":{"rendered":"\n<\/p>\n
<\/p>\n

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\"\"\/<\/a><\/p>\n

\n
\u4e2d\u56fd\u306e\u5927\u624b\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u4f01\u696d\u3067\u3042\u308bHuawei\u304c\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb(LLM)\u3092\u30b3\u30f3\u30b7\u30e5\u30fc\u30de\u30fc\u30b0\u30ec\u30fc\u30c9\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3067\u54c1\u8cea\u3092\u640d\u306a\u3046\u3053\u3068\u306a\u304f\u5b9f\u884c\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u305f\u3081\u306e\u91cf\u5b50\u5316\u624b\u6cd5\u300cSinkhorn-Normalized Quantization(SINQ)<\/b>\u300d\u3092\u767a\u8868\u3057\u307e\u3057\u305f\u3002<\/p>\n

[2509.22944] SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights<\/b>
https:\/\/www.arxiv.org\/abs\/2509.22944<\/a><\/b><\/p>\n

\"\"\/<\/a><\/p>\n

\n
Huawei\u2019s SINQ: The Open-Source Shortcut to Shrinking LLMs Without Sacrificing Power – AI Consultant | Machine Learning Solutions | Expert Developers<\/b>
https:\/\/aisengtech.com\/2025\/10\/04\/Huawei-s-SINQ-The-Open-Source-Shortcut-to-Shrinking-LLMs-Without-Sacrificing-Power\/<\/a><\/b><\/p>\n

Huawei’s new open source technique shrinks LLMs to make them run on less powerful, less expensive hardware | VentureBeat<\/b>
https:\/\/venturebeat.com\/ai\/huaweis-new-open-source-technique-shrinks-llms-to-make-them-run-on-less<\/a><\/b><\/p>\n

Huawei\u306f\u5e74\u9593220\u5104\u30c9\u30eb(\u7d043\u51463000\u5104\u5186)\u3092\u8d85\u3048\u308b\u7814\u7a76\u958b\u767a\u6295\u8cc7\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002\u305d\u3093\u306aHuawei\u306e\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u3092\u4e3b\u5c0e\u3059\u308b\u7814\u7a76\u65bd\u8a2d\u306e\u3072\u3068\u3064\u304c\u3001\u30b9\u30a4\u30b9\u30fb\u30c1\u30e5\u30fc\u30ea\u30c3\u30d2\u306b\u3042\u308b\u7814\u7a76\u958b\u767a\u30bb\u30f3\u30bf\u30fc\u306eHuawei Research Center Zurich<\/a><\/b>(ZRC)\u3067\u3059\u3002\u305d\u306eZRC\u304c\u3001LLM\u306e\u51fa\u529b\u54c1\u8cea\u3092\u640d\u306a\u3046\u3053\u3068\u306a\u304f\u30e1\u30e2\u30ea\u30d5\u30c3\u30c8\u30d7\u30ea\u30f3\u30c8<\/a><\/b>\u3092\u524a\u6e1b\u3059\u308b\u3088\u3046\u8a2d\u8a08\u3055\u308c\u305f\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u91cf\u5b50\u5316\u624b\u6cd5\u306e\u300cSINQ\u300d\u3092\u767a\u8868\u3057\u307e\u3057\u305f\u3002SINQ\u306e\u6700\u5927\u306e\u5229\u70b9\u306f\u9ad8\u901f\u3067\u30ad\u30e3\u30ea\u30d6\u30ec\u30fc\u30b7\u30e7\u30f3\u4e0d\u8981\u3067\u3042\u308a\u306a\u304c\u3089\u3001\u65e2\u5b58\u306e\u30e2\u30c7\u30eb\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3078\u306e\u7d71\u5408\u304c\u5bb9\u6613\u3067\u3042\u308b\u3068\u3044\u3046\u70b9\u306b\u3042\u308a\u307e\u3059\u3002<\/p>\n

\u5f93\u6765\u306e\u91cf\u5b50\u5316\u624b\u6cd5\u306f\u3001\u30e1\u30e2\u30ea\u3092\u7bc0\u7d04\u3059\u308b\u305f\u3081\u306bAI\u30e2\u30c7\u30eb\u306e\u91cd\u307f\u3065\u3051\u306e\u7cbe\u5ea6\u3092\u4e0b\u3052\u307e\u3059\u304c\u3001\u30e1\u30e2\u30ea\u4f7f\u7528\u91cf\u3068\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u30c8\u30ec\u30fc\u30c9\u30aa\u30d5\u304c\u751f\u3058\u308b\u3068\u3044\u3046\u554f\u984c\u3092\u62b1\u3048\u3066\u3044\u307e\u3057\u305f\u3002\u3057\u304b\u3057\u3001SINQ\u306f\u4ee5\u4e0b\u306e2\u3064\u306e\u91cd\u8981\u306a\u9769\u65b0\u3092\u5c0e\u5165\u3059\u308b\u3053\u3068\u3067\u3001\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u4f4e\u4e0b\u3092\u6291\u3048\u308b\u3053\u3068\u306b\u6210\u529f\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u30fb\u4e8c\u8ef8\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0<\/b>
SINQ\u306f\u884c\u5217\u3092\u91cf\u5b50\u5316\u3059\u308b\u969b\u306b\u3001\u5358\u4e00\u306e\u30b9\u30b1\u30fc\u30eb\u4fc2\u6570\u3092\u4f7f\u7528\u3059\u308b\u4ee3\u308f\u308a\u306b\u3001\u884c\u3068\u5217\u306b\u5225\u3005\u306e\u30b9\u30b1\u30fc\u30ea\u30f3\u30b0\u30d9\u30af\u30c8\u30eb\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u3053\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u3088\u308a\u3001\u5916\u308c\u5024\u306e\u5f71\u97ff\u3092\u8efd\u6e1b\u3057\u3001\u91cf\u5b50\u5316\u306b\u3088\u308b\u8aa4\u5dee\u3092\u884c\u5217\u5168\u4f53\u306b\u308f\u305f\u3063\u3066\u3088\u308a\u67d4\u8edf\u306b\u5206\u6563\u3055\u305b\u308b\u3053\u3068\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n

\"\"\/<\/a><\/p>\n

\n
\u30fb\u30b7\u30f3\u30af\u30db\u30fc\u30f3\u30fb\u30af\u30ce\u30c3\u30d7<\/a>\u578b\u6b63\u898f\u5316<\/b>
\u30b7\u30f3\u30af\u30db\u30fc\u30f3\u30fb\u30af\u30ce\u30c3\u30d7\u578b\u6b63\u898f\u5316\u306f\u3001\u30b7\u30f3\u30af\u30db\u30fc\u30f3\u53cd\u5fa9\u3068\u547c\u3070\u308c\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u7740\u60f3\u3092\u5f97\u305f\u9ad8\u901f\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u3059\u3002\u884c\u5217\u306e\u884c\u3068\u5217\u306e\u6a19\u6e96\u504f\u5dee\u3092\u6b63\u898f\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u300c\u884c\u5217\u306e\u4e0d\u5747\u8861\u300d\u3092\u6700\u5c0f\u5316\u3059\u308b\u3068\u3044\u3046\u3082\u306e\u3002\u5c16\u5ea6<\/a><\/b>\u306a\u3069\u306e\u4ee3\u66ff\u6307\u6a19\u3088\u308a\u3082\u3001\u52b9\u679c\u7684\u306b\u91cf\u5b50\u5316\u6027\u80fd\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u793a\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\"\"\/<\/a><\/p>\n

\n
\u3053\u308c\u306b\u3088\u308aSINQ\u306f\u30ad\u30e3\u30ea\u30d6\u30ec\u30fc\u30b7\u30e7\u30f3\u4e0d\u8981\u306a\u91cf\u5b50\u5316\u624b\u6cd5\u3068\u6bd4\u3079\u3066\u3001\u8907\u6570\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306b\u304a\u3044\u3066\u512a\u308c\u305f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u767a\u63ee\u3057\u307e\u3057\u305f\u3002\u5177\u4f53\u7684\u306b\u306f\u3001\u78ba\u7387\u30e2\u30c7\u30eb\u304c\u30b5\u30f3\u30d7\u30eb\u3092\u3069\u308c\u3060\u3051\u6b63\u78ba\u306b\u4e88\u6e2c\u3067\u304d\u308b\u304b\u3092\u793a\u3059\u6307\u6a19\u3067\u3042\u308b\u30d1\u30fc\u30d7\u30ec\u30ad\u30b7\u30c6\u30a3<\/a><\/b>\u3084\u3001\u30e2\u30c7\u30eb\u306e\u5805\u7262\u6027\u306e\u6307\u6a19\u3067\u3042\u308b\u30d5\u30ea\u30c3\u30d7\u7387\u304c\u4e00\u8cab\u3057\u3066\u6539\u5584\u3055\u308c\u305f\u305d\u3046\u3067\u3059\u3002<\/p>\n

SINQ\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3068\u30d3\u30c3\u30c8\u5e45\u306b\u5fdc\u3058\u3066\u3055\u307e\u3056\u307e\u306a\u30b5\u30a4\u30ba\u306eAI\u30e2\u30c7\u30eb\u304c\u30e1\u30e2\u30ea\u4f7f\u7528\u6599\u309260\uff5e70\uff05\u3082\u524a\u6e1b\u3059\u308b\u3053\u3068\u306b\u6210\u529f\u3057\u3066\u3044\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u3053\u308c\u307e\u306760GB\u4ee5\u4e0a\u306e\u30e1\u30e2\u30ea\u3092\u5fc5\u8981\u3068\u3057\u3066\u3044\u305fAI\u30e2\u30c7\u30eb\u304c\u300120GB\u7a0b\u5ea6\u3067\u52d5\u4f5c\u53ef\u80fd\u3068\u306a\u308b\u308f\u3051\u3067\u3059\u3002\u306a\u304a\u3001SINQ\u306fQwen3<\/a><\/b>\u30b7\u30ea\u30fc\u30ba\u3084Llama<\/a><\/b>\u3001DeepSeek<\/a><\/b>\u306eLLM\u306a\u3069\u3001\u5e45\u5e83\u3044AI\u30e2\u30c7\u30eb\u3067\u5229\u7528\u3059\u308b\u3053\u3068\u306b\u6210\u529f\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u3053\u308c\u306f\u30cf\u30a4\u30a8\u30f3\u30c9\u306e\u30a8\u30f3\u30bf\u30fc\u30d7\u30e9\u30a4\u30ba\u5411\u3051GPU\u3092\u5fc5\u8981\u3068\u3057\u3066\u3044\u305fAI\u30e2\u30c7\u30eb\u304c\u3001\u3088\u308a\u5b89\u4fa1\u306a\u4e00\u822c\u6d88\u8cbb\u8005\u5411\u3051\u306eGPU\u3067\u52d5\u4f5c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b\u3053\u3068\u3092\u610f\u5473\u3059\u308b\u3068AI\u30b3\u30f3\u30b5\u30eb\u30bf\u30f3\u30c8\u306e\u30b7\u30a7\u30f3\u30fb\u30ac\u30aa<\/a><\/b>\u6c0f\u306f\u8a00\u53ca\u3057\u3066\u3044\u307e\u3059\u3002\u306a\u304a\u3001\u3053\u308c\u306fNVIDIA\u306eAI\u5411\u3051GPU\u3067\u3042\u308bA100 80G(1\u4e079000\u30c9\u30eb\uff1a\u7d04290\u4e07\u5186)\u3084H100(3\u4e07\u30c9\u30eb\uff1a\u7d04450\u4e07\u5186)\u3067\u306a\u3051\u308c\u3070\u52d5\u4f5c\u3057\u306a\u304b\u3063\u305fAI\u30e2\u30c7\u30eb\u3092\u3001GeForce RTX 4090\u3067\u52d5\u4f5c\u3055\u305b\u308b\u3088\u3046\u306a\u3082\u306e\u3067\u3059\u3002<\/p>\n

Amazon | ASUS TUF GeForce RTX\u00ae 4090 OC Edition \u30b2\u30fc\u30df\u30f3\u30b0\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30ab\u30fc\u30c9 (PCIe 4.0 24GB GDDR6X HDMI 2.1a DisplayPort 1.4a) | ASUS | \u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30dc\u30fc\u30c9 \u901a\u8ca9<\/a><\/b><\/p>\n

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\u307e\u305f\u3001A100\u30d9\u30fc\u30b9\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306f1\u6642\u9593\u3042\u305f\u308a3\uff5e4.5\u30c9\u30eb(\u7d04450\uff5e680\u5186)\u304b\u304b\u308b\u3053\u3068\u304c\u591a\u3044\u306e\u306b\u5bfe\u3057\u3066\u3001GeForce RTX 4090\u306e\u3088\u3046\u306a24GB GPU\u306a\u3089\u30701\u6642\u9593\u3042\u305f\u308a1\uff5e1.5\u30c9\u30eb(\u7d04150\uff5e230\u5186)\u7a0b\u5ea6\u3067\u5229\u7528\u53ef\u80fd\u3067\u3059\u3002\u7279\u306b\u3001\u62e1\u5f35\u63a8\u8ad6\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u306e\u5834\u5408\u3001\u3053\u306e\u5dee\u306f\u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u6570\u5343\u30c9\u30eb(\u6570\u5341\u4e07\u5186)\u306e\u30b3\u30b9\u30c8\u524a\u6e1b\u306b\u3064\u306a\u304c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

\u305d\u306e\u305f\u3081\u3001\u30e1\u30e2\u30ea\u306e\u5236\u7d04\u3092\u53d7\u3051\u3066\u3044\u305f\u5c0f\u898f\u6a21\u30af\u30e9\u30b9\u30bf\u30fc\u3084\u30ed\u30fc\u30ab\u30eb\u30ef\u30fc\u30af\u30b9\u30c6\u30fc\u30b7\u30e7\u30f3\u3001\u30b3\u30f3\u30b7\u30e5\u30fc\u30de\u30fc\u30b0\u30ec\u30fc\u30c9\u306e\u30bb\u30c3\u30c8\u30a2\u30c3\u30d7\u4e0a\u3067\u3082LLM\u3092\u52d5\u4f5c\u3055\u305b\u308b\u3053\u3068\u304c\u53ef\u80fd\u3068\u306a\u308a\u307e\u3059\u3002
\n<\/p>\n

\u306a\u304a\u3001SINQ\u306fGitHub\u3084Hugging Face\u3068\u3044\u3063\u305f\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067Apache 2.0\u30e9\u30a4\u30bb\u30f3\u30b9<\/a><\/b>\u306e\u4e0b\u3067\u5229\u7528\u53ef\u80fd\u3002\u7121\u6599\u3067\u4f7f\u7528\u30fb\u6539\u5909\u30fb\u5546\u7528\u5c55\u958b\u304c\u53ef\u80fd\u3067\u3059\u3002<\/p>\n

Paper page – SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights<\/b>
https:\/\/huggingface.co\/papers\/2509.22944<\/a><\/b><\/p>\n

\"\"\/<\/a><\/p>\n

\n
GitHub – huawei-csl\/SINQ: Welcome to the official repository of SINQ! A novel, fast and high-quality quantization method designed to make any Large Language Model smaller while preserving accuracy.<\/b>
https:\/\/github.com\/huawei-csl\/SINQ<\/a><\/b><\/p>\n

\"\"\/<\/a><\/p>\n

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\n

\u3053\u306e\u8a18\u4e8b\u306e\u30bf\u30a4\u30c8\u30eb\u3068URL\u3092\u30b3\u30d4\u30fc\u3059\u308b<\/p>\n<\/div>\n<\/div>\n\n
\u5143\u306e\u8a18\u4e8b\u3092\u78ba\u8a8d\u3059\u308b <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"\u4e2d\u56fd\u306e\u5927\u624b\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u4f01\u696d\u3067\u3042\u308bHuawei\u304c\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb(LLM)\u3092\u30b3\u30f3\u30b7\u30e5\u30fc\u30de\u30fc\u30b0\u30ec\u30fc\u30c9\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3067\u54c1\u8cea\u3092\u640d\u306a\u3046\u3053\u3068\u306a\u304f\u5b9f\u884c\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u305f\u3081\u306e\u91cf\u5b50\u5316\u624b\u6cd5\u300cSinkhorn-Normalized Quan […]","protected":false},"author":1,"featured_media":8396,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-8395","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hatena-blog"],"acf":[],"yoast_head":"\nAI\u30e2\u30c7\u30eb\u306e\u30e1\u30e2\u30ea\u4f7f\u7528\u91cf\u309260\uff5e70\uff05\u3082\u524a\u6e1b\u3057\u5b89\u4fa1\u3067\u4f4e\u6027\u80fd\u306a\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3067\u3082\u52d5\u4f5c\u3059\u308b\u3088\u3046\u306b\u3067\u304d\u308b\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u91cf\u5b50\u5316\u624b\u6cd5\u300cSINQ\u300d\u3092Huawei\u304c\u767a\u8868 - 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