Title: DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-R1-Distill %E2%80%94 LLM EU Canonical: https://llmeu.com/mt/compare/deepseek-r1-distill-qwen-1-5b-vs-deepseek-r1-distill-qwen-32b/ Markdown mirror: https://llmeu.com/mt/compare/deepseek-r1-distill-qwen-1-5b-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 1.5B vs DeepSeek-R1-Distill-Qwen-32B Qieg%C4%A7ed %C5%BCew%C4%A1 mudelli sa erbg%C4%A7a ma' xulxin fuq l-oqsma li jidde%C4%8Biedu deployment: kuntest, prezz, re%C4%A1jun, li%C4%8Benzja, lingwi, hosting, u x'hu verifikat. Fejn %C5%BCew%C4%A1 mudelli jvarjaw, din it-tabella turi d-differenza u tieqaf. LLM EU ma tippubblikax badge ta' rebbie%C4%A7 ming%C4%A7ajr punte%C4%A1%C4%A1 dokumentat g%C4%A7al dik il-kompitu, u figura nieqsa tibqa' nieqsa minflok ma ssir %C5%BCero. ## Meta tu%C5%BCah ### [DeepSeek R1 Distill Qwen 1.5B](/mt/models/deepseek-r1-distill-qwen-1-5b/) #### Sa%C4%A7%C4%A7iet - 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 1.8B parameters it fits on a single accelerator #### Limiti - 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 1.8B parameters, the weights fit on a single modest accelerator #### Kompiti [Ra%C4%A1unament](/mt/tasks/reasoning/), [Spi%C5%BCa baxxa](/mt/tasks/cheap/) ### [DeepSeek-R1-Distill-Qwen-32B](/mt/models/deepseek-r1-distill-qwen-32b/) #### Sa%C4%A7%C4%A7iet - fits a single 80GB accelerator - MIT licence - retains the R1 reasoning style that smaller base models usually lack #### Limiti - a distillation, so quality is bounded by the teacher - long reasoning traces increase output cost - no evaluation has been run by LLM EU #### Kompiti [Ra%C4%A1unament](/mt/tasks/reasoning/), [Ikkodifikar](/mt/tasks/coding/), [Spi%C5%BCa baxxa](/mt/tasks/cheap/), [Sommarizzazzjoni](/mt/tasks/summarization/) **Kompiti:** [Ra%C4%A1unament](/mt/tasks/reasoning/), [Spi%C5%BCa baxxa](/mt/tasks/cheap/) ## Qabbel mudelli - [Bloom 1b1 vs DeepSeek R1 Distill Qwen 1.5B](/mt/compare/bloom-1b1-vs-deepseek-r1-distill-qwen-1-5b/) - [Command R (08-2024) vs DeepSeek-R1-Distill-Qwen-32B](/mt/compare/command-r-08-2024-vs-deepseek-r1-distill-qwen-32b/) - [NVIDIA Cosmos Reason2 2B vs DeepSeek R1 Distill Qwen 1.5B](/mt/compare/cosmos-reason2-2b-vs-deepseek-r1-distill-qwen-1-5b/) - [DeepSeek OCR vs DeepSeek R1 Distill Qwen 1.5B](/mt/compare/deepseek-ocr-vs-deepseek-r1-distill-qwen-1-5b/) - [DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-R1](/mt/compare/deepseek-r1-distill-qwen-1-5b-vs-deepseek-r1/) - [DeepSeek R1 Distill Qwen 1.5B vs DeepSeek R1 0528](/mt/compare/deepseek-r1-distill-qwen-1-5b-vs-deepseek-r1-0528/)