{"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\/et\/blog\/news\/mistral-ai-opublikoval-devstral-bolshuyu-yazykovuyu-model-dlya-raboty-s-kodom","title":{"rendered":"Mistral AI avaldas Devstrali, suure keelemudeli koodiga t\u00f6\u00f6tamiseks","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Ettev\u00f5te Mistral AI esitles suurt keelemudelit Devstral, mis on optimeeritud tarkvaraarenduse probleemide lahendamiseks. Erinevalt tavap\u00e4rastest AI-mudelitest \u00fcletab Mistral AI \u00fcksikute funktsioonide kirjutamise ja koodi t\u00e4iendamise ning pakub v\u00f5imalusi, mis v\u00f5imaldavad anal\u00fc\u00fcsida ja kontekstualiseerida (m\u00e4\u00e4rata otstarve ja t\u00f6\u00f6loogika) suuri koodibaase, tuvastada seoseid komponentide vahel ja avastada keerulisi vigu segastes funktsioonides. <\/p>\n

Mudel katab 23.6 miljardi parameetrit, arvestab konteksti 128 000 tokeni ulatuses ja on avaldatud Apache 2.0 litsentsi all. Devstrali allalaaditav arhiiv on 47 GB ja sobib kasutamiseks kohalikus s\u00fcsteemis \u2014 mudeli k\u00e4itamiseks piisab \u00fchest NVIDIA GeForce RTX 4090 graafikakaardist ja 32 GB RAM-ist. Mudelit saab kasutada avatud t\u00f6\u00f6riistades SWE-agent ja OpenHands vigade parandamise automatiseerimiseks, koodi anal\u00fc\u00fcsimiseks ja muudatuste tegemiseks. <\/p>\n

S\u00fcsteemi saab rakendada konkreetsete probleemide (issue) lahendamiseks GitHubis ning see \u00fcletab teisi projekte testkomplektis SWE-Bench Verified, mis kontrollib koodi tavaliste probleemide lahendamise \u00f5igsust (pakutakse 500 testi reaalsete veateadete p\u00f5hjal GitHubis). Antud testis saavutas Devstral mudel 46.8%, samas kui mudel Claude 3.5 Haiku saavutas 40.6%, SWE-smith-LM 32B 40.2% ja GPT-4.1-mini 23.6%. Muuhulgas \u00fcletas Devstral ka suurte mudeleid nagu Deepseek-V3-0324 671B (38.8%) ja Qwen3 232B-A22B (34.4%), mis katab sadu miljardeid parameetreid.
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Allikas: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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Mistral AI esitles suurt keelemudelit Devstral, mis on optimeeritud tarkvaraarenduse probleemide lahendamiseks.","canonical_url":"https:\/\/prohoster.info\/et\/blog\/news\/mistral-ai-opublikoval-devstral-bolshuyu-yazykovuyu-model-dlya-raboty-s-kodom","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47Mistral AI \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b Devstral, \u0431\u043e\u043b\u044c\u0448\u0443\u044e \u044f\u0437\u044b\u043a\u043e\u0432\u0443\u044e \u043c\u043e\u0434\u0435\u043b\u044c \u0434\u043b\u044f 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