{"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\/ro\/blog\/news\/mistral-ai-opublikoval-devstral-bolshuyu-yazykovuyu-model-dlya-raboty-s-kodom","title":{"rendered":"Mistral AI a publicat Devstral, un model lingvistic mare pentru lucrul cu codul","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Compania Mistral AI a lansat un model lingvistic mare, Devstral, optimizat pentru a rezolva problemele ap\u0103rute \u00een procesul de dezvoltare a software-ului. Spre deosebire de modelele AI tipice, Mistral AI dep\u0103\u0219e\u0219te scrierea func\u021biilor individuale \u0219i completarea codului, oferind capacit\u0103\u021bi de analiz\u0103 \u0219i contextualizare (definirea scopului \u0219i logicii) a bazelor mari de cod, identificarea leg\u0103turilor \u00eentre componente \u0219i depistarea erorilor greu detectabile \u00een func\u021bii complexe. <\/p>\n

Modelul acoper\u0103 23.6 miliarde de parametri, \u021bin\u00e2nd cont de context \u00een 128 de mii de tokeni \u0219i este publicat sub licen\u021ba Apache 2.0. Arhiva desc\u0103rcabil\u0103 cu Devstral ocup\u0103 47 GB \u0219i este potrivit\u0103 pentru utilizare pe sisteme locale \u2014 pentru a rula modelul este suficient un PC cu plac\u0103 grafic\u0103 NVIDIA GeForce RTX 4090 \u0219i 32 GB RAM. Modelul poate fi utilizat \u00een instrumentele deschise SWE-agent \u0219i OpenHands pentru automatizarea corect\u0103rii erorilor, analiza codului \u0219i efectuarea modific\u0103rilor. <\/p>\n

Sistemul poate fi aplicat pentru a rezolva probleme specifice (issue) pe GitHub \u0219i dep\u0103\u0219e\u0219te semnificativ alte proiecte \u00een setul de teste SWE-Bench Verified, care verific\u0103 corectitudinea solu\u021bion\u0103rii problemelor tipice \u00een cod (oferind 500 de teste bazate pe rapoarte reale de erori de pe GitHub). \u00cen acest test, modelul Devstral a ob\u021binut 46.8%, \u00een timp ce modelul Claude 3.5 Haiku a ob\u021binut 40.6%, SWE-smith-LM 32B \u2014 40.2% \u0219i GPT-4.1-mini \u2014 23.6%. Printre altele, Devstral a dep\u0103\u0219it modele mari precum Deepseek-V3-0324 671B (38.8%) \u0219i Qwen3 232B-A22B (34.4%), care acoper\u0103 sute de miliarde de parametri.
\n
Sursa: opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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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\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 a publicat Devstral, un model lingvistic mare pentru lucrul cu codul | ProHoster","description":"Compania Mistral AI a 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\u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u043a\u043e\u0434\u043e\u043c | ProHoster","og:description":"\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 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