{"id":125519,"date":"2025-05-23T15:05:12","date_gmt":"2025-05-23T13:05:12","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/mistral-ai-opublikoval-devstral-bolshuyu-yazykovuyu-model-dlya-raboty-s-kodom"},"modified":"2025-05-23T15:05:12","modified_gmt":"2025-05-23T13:05:12","slug":"mistral-ai-opublikoval-devstral-bolshuyu-yazykovuyu-model-dlya-raboty-s-kodom","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/news\/mistral-ai-opublikoval-devstral-bolshuyu-yazykovuyu-model-dlya-raboty-s-kodom","title":{"rendered":"Mistral AI zve\u0159ejnil Devstral, velk\u00fd jazykov\u00fd model pro pr\u00e1ci s k\u00f3dem","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Spole\u010dnost Mistral AI p\u0159edstavila velk\u00fd jazykov\u00fd model Devstral, optimalizovan\u00fd pro \u0159e\u0161en\u00ed probl\u00e9m\u016f, kter\u00e9 se objevuj\u00ed b\u011bhem v\u00fdvoje softwaru. Na rozd\u00edl od tradi\u010dn\u00edch AI model\u016f, Mistral AI p\u0159esahuje r\u00e1mec psan\u00ed jednotliv\u00fdch funkc\u00ed a dopl\u0148ov\u00e1n\u00ed k\u00f3du, a nab\u00edz\u00ed mo\u017enosti, kter\u00e9 umo\u017e\u0148uj\u00ed analyzovat a kontextualizovat (stanovit \u00fa\u010del a logiku fungov\u00e1n\u00ed) rozs\u00e1hl\u00e9 k\u00f3dov\u00e9 z\u00e1kladny, ur\u010dit vztahy mezi komponenty a detekovat t\u011b\u017eko odhaliteln\u00e9 chyby v komplikovan\u00fdch funkc\u00edch. <\/p>\n

Model pokr\u00fdv\u00e1 23,6 miliard parametr\u016f, zohled\u0148uje kontext v 128 tis\u00edc\u00edch token\u016f a je publikov\u00e1na pod licenc\u00ed Apache 2.0. Stahovan\u00fd archiv s Devstral zab\u00edr\u00e1 47 GB a je vhodn\u00fd pro pou\u017eit\u00ed na lok\u00e1ln\u00edch syst\u00e9mech \u2014 pro vykon\u00e1n\u00ed modelu sta\u010d\u00ed jedno PC s grafickou kartou NVIDIA GeForce RTX 4090 a 32 GB RAM. Model lze pou\u017e\u00edt v otev\u0159en\u00fdch n\u00e1stroj\u00edch SWE-agent a OpenHands pro automatizaci oprav chyb, anal\u00fdzu k\u00f3du a prov\u00e1d\u011bn\u00ed zm\u011bn. <\/p>\n

Syst\u00e9m m\u016f\u017ee b\u00fdt pou\u017eit k \u0159e\u0161en\u00ed konkr\u00e9tn\u00edch probl\u00e9m\u016f (issue) na GitHubu a v\u00fdrazn\u011b p\u0159ed\u010d\u00ed jin\u00e9 projekty v testovac\u00edm souboru SWE-Bench Verified, kter\u00fd ov\u011b\u0159uje spr\u00e1vnost \u0159e\u0161en\u00ed typick\u00fdch probl\u00e9m\u016f v k\u00f3du (nab\u00edz\u00ed 500 test\u016f zalo\u017een\u00fdch na skute\u010dn\u00fdch chybov\u00fdch zpr\u00e1v\u00e1ch na GitHubu). V tomto testu model Devstral dos\u00e1hl 46,8 %, zat\u00edmco model Claude 3.5 Haiku z\u00edskal 40,6 %, SWE-smith-LM 32B \u2014 40,2 % a GPT-4.1-mini \u2014 23,6 %. Mimo jin\u00e9 Devstral p\u0159ed\u010dil takov\u00e9 velk\u00e9 modely, jako je Deepseek-V3-0324 671B (38,8 %) a Qwen3 232B-A22B (34,4 %), kter\u00e9 pokr\u00fdvaj\u00ed stovky miliard parametr\u016f.
\n
Zdroj: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Mistral AI \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0431\u043e\u043b\u044c\u0448\u0443\u044e \u044f\u0437\u044b\u043a\u043e\u0432\u0443\u044e \u043c\u043e\u0434\u0435\u043b\u044c Devstral, \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u0443\u044e \u0434\u043b\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u043f\u0440\u043e\u0431\u043b\u0435\u043c, \u0432\u043e\u0437\u043d\u0438\u043a\u0430\u044e\u0449\u0438\u0445 \u0432 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u041f\u041e. \u0412 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u043e\u0442 \u0442\u0438\u043f\u043e\u0432\u044b\u0445 AI-\u043c\u043e\u0434\u0435\u043b\u0435\u0439, Mistral AI \u0432\u044b\u0445\u043e\u0434\u0438\u0442 \u0437\u0430 \u0440\u0430\u043c\u043a\u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u044f 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\u0441\u0432\u044f\u0437\u0438 \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0430\u043c\u0438 \u0438 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0442\u044c \u0442\u0440\u0443\u0434\u043d\u043e\u0432\u044b\u044f\u0432\u043b\u044f\u0435\u043c\u044b\u0435 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-125519","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Mistral AI zve\u0159ejnil Devstral, velk\u00fd jazykov\u00fd model pro pr\u00e1ci s k\u00f3dem | 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