Title: DeepSeek R1 Distill Qwen 7B vs DeepSeek-R1-Distill-Qwen %E2%80%94 LLM EU Canonical: https://llmeu.com/sk/compare/deepseek-r1-distill-qwen-7b-vs-deepseek-r1-distill-qwen-32b/ Markdown mirror: https://llmeu.com/sk/compare/deepseek-r1-distill-qwen-7b-vs-deepseek-r1-distill-qwen-32b.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # DeepSeek R1 Distill Qwen 7B vs DeepSeek-R1-Distill-Qwen-32B Postavte dva a%C5%BE %C5%A1tyri modely ved%C4%BEa seba pod%C4%BEa pol%C3%AD, ktor%C3%A9 rozhoduj%C3%BA o nasaden%C3%AD: kontext, cena, regi%C3%B3n, licencia, jazyky, hos%C5%A5ovanie a %C4%8Do je overen%C3%A9. Ak sa dva modely l%C3%AD%C5%A1ia, t%C3%A1to tabu%C4%BEka zobraz%C3%AD rozdiel a skon%C4%8D%C3%AD. LLM EU nezverej%C5%88uje odznak v%C3%AD%C5%A5aza bez zdokumentovan%C3%A9ho sk%C3%B3re pre dan%C3%BA %C3%BAlohu a ch%C3%BDbaj%C3%BAci %C3%BAdaj zost%C3%A1va ch%C3%BDbaj%C3%BAci, namiesto toho, aby sa stal nulou. ## Kedy ho pou%C5%BEi%C5%A5 ### [DeepSeek R1 Distill Qwen 7B](/sk/models/deepseek-r1-distill-qwen-7b/) #### Siln%C3%A9 str%C3%A1nky - open weights are published on Hugging Face and can be downloaded without a vendor agreement - mit licence, so commercial self-hosting is permitted without a separate agreement - at 7.6B parameters it fits on a single accelerator #### Obmedzenia - catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint - no evaluation has been run by LLM EU - the published configuration records no context window, so the card carries none - at 7.6B parameters, the weights fit on a single modest accelerator #### %C3%9Alohy [Uva%C5%BEovanie](/sk/tasks/reasoning/), [N%C3%ADzke n%C3%A1klady](/sk/tasks/cheap/) ### [DeepSeek-R1-Distill-Qwen-32B](/sk/models/deepseek-r1-distill-qwen-32b/) #### Siln%C3%A9 str%C3%A1nky - fits a single 80GB accelerator - MIT licence - retains the R1 reasoning style that smaller base models usually lack #### Obmedzenia - a distillation, so quality is bounded by the teacher - long reasoning traces increase output cost - no evaluation has been run by LLM EU #### %C3%9Alohy [Uva%C5%BEovanie](/sk/tasks/reasoning/), [K%C3%B3dovanie](/sk/tasks/coding/), [N%C3%ADzke n%C3%A1klady](/sk/tasks/cheap/), [Zhrnutie](/sk/tasks/summarization/) **%C3%9Alohy:** [Uva%C5%BEovanie](/sk/tasks/reasoning/), [N%C3%ADzke n%C3%A1klady](/sk/tasks/cheap/) ## Porovna%C5%A5 modely - [Command R (08-2024) vs DeepSeek-R1-Distill-Qwen-32B](/sk/compare/command-r-08-2024-vs-deepseek-r1-distill-qwen-32b/) - [Deepseek Coder 7B Instruct V1.5 vs DeepSeek R1 Distill Qwen 7B](/sk/compare/deepseek-coder-7b-instruct-v1-5-vs-deepseek-r1-distill-qwen-7b/) - [DeepSeek R1 Distill Qwen 1.5B vs DeepSeek R1 Distill Qwen 7B](/sk/compare/deepseek-r1-distill-qwen-1-5b-vs-deepseek-r1-distill-qwen-7b/) - [DeepSeek-R1-Distill-Qwen-32B vs Devstral Small 2 (24B)](/sk/compare/deepseek-r1-distill-qwen-32b-vs-devstral-small-2-24b/) - [DeepSeek-R1-Distill-Qwen-32B vs ERNIE 4.5 21B-A3B Thinking](/sk/compare/deepseek-r1-distill-qwen-32b-vs-ernie-4-5-21b-a3b-thinking/) - [DeepSeek-R1-Distill-Qwen-32B vs ERNIE 4.5 VL 28B-A3B](/sk/compare/deepseek-r1-distill-qwen-32b-vs-ernie-4-5-vl-28b-a3b/)