{"id":184029,"date":"2026-10-29T11:40:41","date_gmt":"2026-10-29T09:40:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/qwenputer-redakcziya-ai-modeli-qwen3-5-sposobnaya-simulirovat-risc-v-cpu-dlya-vypolneniya-koda-na-c-i-micropython"},"modified":"2026-10-29T11:40:46","modified_gmt":"2026-10-29T09:40:46","slug":"qwenputer-a-qwen3-5-ai-model-variant-that-simulates-a-risc-v-cpu-to-run-c-and-micropython-code","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/news\/qwenputer-a-qwen3-5-ai-model-variant-that-simulates-a-risc-v-cpu-to-run-c-and-micropython-code","title":{"rendered":"Qwenputer \u2014 izdanje AI modela Qwen3.5, sposoban simulirati RISC-V CPU za izvr\u0161avanje koda na C i MicroPython","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\u0412 \u0440\u0430\u043c\u043a\u0430\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Qwenputer \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b\u0438 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 AI-\u043c\u043e\u0434\u0435\u043b\u0438 Qwen3.5-4B, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0439 \u0441\u0438\u043c\u0443\u043b\u044f\u0442\u043e\u0440 \u043f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u043e\u0433\u043e 32-\u0440\u0430\u0437\u0440\u044f\u0434\u043d\u043e\u0433\u043e CPU \u043d\u0430 \u0431\u0430\u0437\u0435 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b RISC-V (RV32IM), \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u0435 Zba \u0438 \u043e\u0441\u043d\u0430\u0449\u0451\u043d\u043d\u043e\u0433\u043e \u0441\u043e\u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u043e\u043c bignum \u0434\u043b\u044f \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0439 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u0447\u0438\u0441\u043b\u0430\u043c\u0438. \u0420\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u044f\u0434\u0440\u0430 CPU \u0441\u043a\u043e\u043c\u043f\u0438\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0430 \u0432 \u043d\u0430\u0431\u043e\u0440 \u0432\u0435\u0441\u043e\u0432 \u0438 \u0438\u043d\u0442\u0435\u0433\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u0430 \u0432 \u0431\u043e\u043b\u044c\u0448\u0443\u044e \u044f\u0437\u044b\u043a\u043e\u0432\u0443\u044e \u043c\u043e\u0434\u0435\u043b\u044c \u0432 \u0432\u0438\u0434\u0435 11 \u0434\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u043b\u043e\u0451\u0432 \u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440\u043e\u0432, \u0434\u043e\u0431\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0445 \u043f\u0435\u0440\u0435\u0434 \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u043c\u0438 \u0441\u043b\u043e\u044f\u043c\u0438 Qwen. \u0412\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u044e\u0442\u0441\u044f \u043d\u0435\u043f\u043e\u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u0432 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435 \u043f\u0440\u044f\u043c\u043e\u0433\u043e \u043f\u0440\u043e\u0445\u043e\u0434\u0430 (forward pass) \u043d\u0435\u0439\u0440\u043e\u0441\u0435\u0442\u0438, \u0431\u0435\u0437 \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u0432\u043d\u0435\u0448\u043d\u0438\u0445 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0438\u043b\u0438 \u043f\u043b\u0430\u0433\u0438\u043d\u043e\u0432.<\/p>\n

\u0420\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0443\u0441\u043f\u0435\u0448\u043d\u043e \u043f\u0440\u043e\u0445\u043e\u0434\u0438\u0442 \u0432\u0441\u0435 \u043f\u0440\u043e\u0432\u0435\u0440\u043a\u0438 \u0438\u0437 \u043e\u0444\u0438\u0446\u0438\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043d\u0430\u0431\u043e\u0440\u0430 \u0442\u0435\u0441\u0442\u043e\u0432 riscv-tests \u0438 \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u0430 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0441\u043a\u043e\u043c\u043f\u0438\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u043a\u043e\u0434 \u043d\u0430 C \u0438 MicroPython. \u041f\u0440\u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0439 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u0447\u0438\u0441\u043b\u0430\u043c\u0438 Qwenputer \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u044c 97.5-100%, \u0447\u0442\u043e \u0441\u043e\u043f\u043e\u0441\u0442\u0430\u0432\u0438\u043c\u043e \u0438\u043b\u0438 \u043f\u0440\u0435\u0432\u043e\u0441\u0445\u043e\u0434\u0438\u0442 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0431\u0430\u0437\u043e\u0432\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 Qwen3.5 \u0441 \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0451\u043d\u043d\u044b\u043c \u0432\u043d\u0435\u0448\u043d\u0438\u043c \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0442\u043e\u0440\u043e\u043c Python. <\/p>\n

<\/center><\/p>\n

\u0414\u043b\u044f \u0441\u0438\u043c\u0443\u043b\u044f\u0446\u0438\u0438 \u043e\u043f\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u043e\u0439 \u043f\u0430\u043c\u044f\u0442\u0438 \u0432 \u043c\u043e\u0434\u0435\u043b\u0438 \u0437\u0430\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u043d\u044b \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u044b\u0435 \u0441\u043b\u043e\u0438 Gated DeltaNet (\u043b\u0438\u043d\u0435\u0439\u043d\u044b\u0435 RNN), \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u043c\u044b\u0435 \u0432 \u0448\u0442\u0430\u0442\u043d\u043e\u0439 AI-\u043c\u043e\u0434\u0435\u043b\u0438 Qwen \u0434\u043b\u044f \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0438\u0437\u043c\u0435\u043d\u0451\u043d\u043d\u043e\u0433\u043e \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u044f \u043f\u0440\u0438 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0431\u043e\u043b\u044c\u0448\u0438\u043c\u0438 \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u043d\u044b\u043c\u0438 \u043e\u043a\u043d\u0430\u043c\u0438. \u041f\u0443\u0442\u0451\u043c \u0444\u0438\u043a\u0441\u0430\u0446\u0438\u0438 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u044f \u0433\u0435\u0439\u0442\u0430 \u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0443\u043d\u0438\u0442\u0430\u0440\u043d\u043e\u0433\u043e \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f (one-hot) \u043a\u0430\u0436\u0434\u044b\u0439 \u0437\u0430\u043f\u0440\u043e\u0441 \u043d\u0430 \u0437\u0430\u043f\u0438\u0441\u044c \u043f\u0435\u0440\u0435\u0437\u0430\u043f\u0438\u0441\u044b\u0432\u0430\u0435\u0442 \u0440\u043e\u0432\u043d\u043e \u043e\u0434\u043d\u0443 \u0441\u0442\u0440\u043e\u043a\u0443 \u043c\u0430\u0442\u0440\u0438\u0446\u044b \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u044f, \u0447\u0442\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 DeltaNet \u043a\u0430\u043a \u0430\u0434\u0440\u0435\u0441\u0443\u0435\u043c\u0443\u044e \u043f\u0430\u043c\u044f\u0442\u044c \u0444\u0438\u043a\u0441\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u0440\u0430\u0437\u043c\u0435\u0440\u0430, \u0438\u0437\u0431\u0435\u0433\u0430\u044f \u043b\u0438\u043d\u0435\u0439\u043d\u043e\u0433\u043e \u0440\u043e\u0441\u0442\u0430 KV-\u043a\u044d\u0448\u0430 (Key-Value) \u043f\u0440\u0438 \u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u0438 \u0434\u043b\u0438\u043d\u044b \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0430. \u0412 \u043f\u043e\u0434\u043e\u0431\u043d\u043e\u0439 \u043f\u0430\u043c\u044f\u0442\u0438 \u0440\u0430\u0437\u043c\u0435\u0449\u0430\u044e\u0442\u0441\u044f \u0440\u0435\u0433\u0438\u0441\u0442\u0440\u044b CPU, \u0434\u0430\u043d\u043d\u044b\u0435 \u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0439 \u043c\u0430\u0448\u0438\u043d\u043d\u044b\u0439 \u043a\u043e\u0434. <\/p>\n

<\/center><\/p>\n

\u0418\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u0438 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u0447\u0442\u0435\u043d\u0438\u0435 \u0440\u0435\u0433\u0438\u0441\u0442\u0440\u043e\u0432, \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0438 \u0443\u0441\u043b\u043e\u0432\u043d\u044b\u0435 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u044b, \u043a\u043e\u043c\u043f\u0438\u043b\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u043d\u0435\u043f\u043e\u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0435\u043d\u043d\u043e \u0432 \u0432\u0435\u0441\u0430 \u0441\u043b\u043e\u0451\u0432 \u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440\u0430. \u0421 \u043a\u0430\u0436\u0434\u043e\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u0435\u0439 \u0441\u043e\u043f\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0435 \u0442\u043e\u043a\u0435\u043d\u044b (ADDR, VAL, STEP), \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0441\u043b\u043e\u0438 AI-\u043c\u043e\u0434\u0435\u043b\u0438 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u0443\u044e\u0442 \u043a\u0430\u043a \u043b\u043e\u0433\u0438\u043a\u0443 \u0440\u0430\u0431\u043e\u0442\u044b CPU. \u0414\u043b\u044f \u0438\u043d\u0438\u0446\u0438\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 CPU \u0438 \u0437\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u043f\u0440\u043e\u0448\u0438\u0432\u043a\u0438 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \u043d\u0435\u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u0432\u043d\u0435\u0448\u043d\u0438\u0439 \u0434\u0440\u0430\u0439\u0432\u0435\u0440 RvChat, \u043d\u043e \u0441\u0430\u043c \u043c\u0430\u0448\u0438\u043d\u043d\u044b\u0439 \u043a\u043e\u0434 \u043e\u0431\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u043f\u043e\u043b\u043d\u043e\u0441\u0442\u044c\u044e \u0432\u043d\u0443\u0442\u0440\u0438 \u0432\u0435\u0441\u043e\u0432 \u043c\u043e\u0434\u0435\u043b\u0438.<\/p>\n

Omejitve projekta vklju\u010dujejo pribli\u017eno dvakratno pove\u010danje velikosti (18,8 GB) v primerjavi s prvotnim modelom Qwen ter ohranjanje to\u010dk stanja (checkpoint), kar je predvsem posledica dodatnega polnjenja dodatnih plasti. Prav tako se omenja relativno nizka hitrost izra\u010dunov (pribli\u017eno 3200 tokenov na sekundo na GPU L4), zaradi \u010desar lahko zahtevni izra\u010duni trajajo sekunde, namesto milisekund. <\/p>\n

Dodatno je implementirana razli\u010dica AI modela z eksperimentalnim datote\u010dnim sistemom, ki omogo\u010da shranjevanje do 512 datotek z 53 tiso\u010dimi tokeni besedila znotraj te\u017e. Tako kot pri implementaciji RAM-a je shranjevanje organizirano v povezavi s stanji DeltaNet, vendar se razlikuje po tem, da FS zagotavlja trajno shranjevanje, ki ne izgubi stanja med seansami.<\/p>\n

Dose\u017eki Qwenputerja so prav tako postali osnova za raziskovanje novih potencialnih varnostnih te\u017eav v AI. Na primeru Qwenputerja je prikazano, kako lahko posebej modificiran AI model prikrije svoje razpravljanje v RNN stanju in se izogne mehanizmom za spremljanje razpravljanja modela (CoT, Chain-of-Thought). Prav tako je bilo prikazano
\nmo\u017enost ustvarjanja mehanizmov nadzora in spremljanja varnosti, vgrajenih v te\u017ee AI modela, ki jih sam model ne more izklju\u010diti ali spremeniti.
\n
Izvor: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0412 \u0440\u0430\u043c\u043a\u0430\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Qwenputer \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u0438\u043b\u0438 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 AI-\u043c\u043e\u0434\u0435\u043b\u0438 Qwen3.5-4B, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u043d \u0432\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u044b\u0439 \u0441\u0438\u043c\u0443\u043b\u044f\u0442\u043e\u0440 \u043f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u043e\u0433\u043e 32-\u0440\u0430\u0437\u0440\u044f\u0434\u043d\u043e\u0433\u043e CPU \u043d\u0430 \u0431\u0430\u0437\u0435 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b RISC-V (RV32IM), \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e 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