Title: Llama 3.1 8B Instruct vs Llama 3.1 70B Instruct %E2%80%94 LLM EU Canonical: https://llmeu.com/cs/compare/llama-3-1-8b-instruct-vs-llama-3-1-70b-instruct/ Markdown mirror: https://llmeu.com/cs/compare/llama-3-1-8b-instruct-vs-llama-3-1-70b-instruct.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # Llama 3.1 8B Instruct vs Llama 3.1 70B Instruct Porovnejte dva a%C5%BE %C4%8Dty%C5%99i modely vedle sebe podle pol%C3%AD, kter%C3%A1 rozhoduj%C3%AD o nasazen%C3%AD: kontext, cena, region, licence, jazyky, hosting a co je ov%C4%9B%C5%99eno. Tam, kde se dva modely li%C5%A1%C3%AD, tabulka uk%C3%A1%C5%BEe rozd%C3%ADl a skon%C4%8D%C3%AD. LLM EU nezve%C5%99ej%C5%88uje odznak v%C3%ADt%C4%9Bze bez dolo%C5%BEen%C3%A9ho sk%C3%B3re pro danou %C3%BAlohu a chyb%C4%9Bj%C3%ADc%C3%AD %C3%BAdaj z%C5%AFst%C3%A1v%C3%A1 chyb%C4%9Bj%C3%ADc%C3%AD, m%C3%ADsto aby se stal nulou. ## Kdy pou%C5%BE%C3%ADt ### [Llama 3.1 8B Instruct](/cs/models/llama-3-1-8b-instruct/) #### Siln%C3%A9 str%C3%A1nky - 128k-token context window at the 8B size class - very broad tooling and quantisation support - published EU21 evaluation against European-focused models #### Omezen%C3%AD - Llama 3.1 Community License, not an OSI licence, with a 700M MAU threshold - English-centric training data; weaker on smaller EU languages - released July 2024 and behind current 8B models #### %C3%9Alohy [N%C3%ADzk%C3%A9 n%C3%A1klady](/cs/tasks/cheap/), [Vyhled%C3%A1v%C3%A1n%C3%AD (RAG)](/cs/tasks/rag/), [Shrnut%C3%AD](/cs/tasks/summarization/), [V%C3%ADcejazy%C4%8Dn%C3%A1 podpora](/cs/tasks/multilingual-support/), [Z%C3%A1kaznick%C3%A1 podpora](/cs/tasks/customer-support/) ### [Llama 3.1 70B Instruct](/cs/models/llama-3-1-70b-instruct/) #### Siln%C3%A9 str%C3%A1nky - open weights are published on Hugging Face and can be downloaded without a vendor agreement - the model page lists 6 languages the European Union publishes in, including en, de, fr, it - instruction-tuned checkpoint with a chat template in the repository #### Omezen%C3%AD - 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 70.6B parameters, self-hosting needs a high-memory accelerator #### %C3%9Alohy [V%C3%ADcejazy%C4%8Dn%C3%A1 podpora](/cs/tasks/multilingual-support/), [Uva%C5%BEov%C3%A1n%C3%AD](/cs/tasks/reasoning/), [Shrnut%C3%AD](/cs/tasks/summarization/) **%C3%9Alohy:** [Shrnut%C3%AD](/cs/tasks/summarization/), [V%C3%ADcejazy%C4%8Dn%C3%A1 podpora](/cs/tasks/multilingual-support/) ## Porovnat modely - [Aya 23 8B vs Llama 3.1 8B Instruct](/cs/compare/aya-23-8b-vs-llama-3-1-8b-instruct/) - [Aya Expanse 8B vs Llama 3.1 8B Instruct](/cs/compare/aya-expanse-8b-vs-llama-3-1-8b-instruct/) - [Deepseek Coder 7B Instruct V1.5 vs Llama 3.1 8B Instruct](/cs/compare/deepseek-coder-7b-instruct-v1-5-vs-llama-3-1-8b-instruct/) - [DeepSeek Coder V2 Lite Instruct vs Llama 3.1 8B Instruct](/cs/compare/deepseek-coder-v2-lite-instruct-vs-llama-3-1-8b-instruct/) - [DeepSeek R1 0528 Qwen3 8B vs Llama 3.1 8B Instruct](/cs/compare/deepseek-r1-0528-qwen3-8b-vs-llama-3-1-8b-instruct/) - [DeepSeek R1 Distill Llama 8B vs Llama 3.1 8B Instruct](/cs/compare/deepseek-r1-distill-llama-8b-vs-llama-3-1-8b-instruct/)