Title: Llama 3.1 8B Instruct vs Llama 3.1 70B Instruct %E2%80%94 LLM EU Canonical: https://llmeu.com/mt/compare/llama-3-1-8b-instruct-vs-llama-3-1-70b-instruct/ Markdown mirror: https://llmeu.com/mt/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 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 ### [Llama 3.1 8B Instruct](/mt/models/llama-3-1-8b-instruct/) #### Sa%C4%A7%C4%A7iet - 128k-token context window at the 8B size class - very broad tooling and quantisation support - published EU21 evaluation against European-focused models #### Limiti - 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 #### Kompiti [Spi%C5%BCa baxxa](/mt/tasks/cheap/), [Irkupru (RAG)](/mt/tasks/rag/), [Sommarizzazzjoni](/mt/tasks/summarization/), [Appo%C4%A1%C4%A1 multilingwi](/mt/tasks/multilingual-support/), [Appo%C4%A1%C4%A1 lill-klijenti](/mt/tasks/customer-support/) ### [Llama 3.1 70B Instruct](/mt/models/llama-3-1-70b-instruct/) #### Sa%C4%A7%C4%A7iet - 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 #### 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 70.6B parameters, self-hosting needs a high-memory accelerator #### Kompiti [Appo%C4%A1%C4%A1 multilingwi](/mt/tasks/multilingual-support/), [Ra%C4%A1unament](/mt/tasks/reasoning/), [Sommarizzazzjoni](/mt/tasks/summarization/) **Kompiti:** [Sommarizzazzjoni](/mt/tasks/summarization/), [Appo%C4%A1%C4%A1 multilingwi](/mt/tasks/multilingual-support/) ## Qabbel mudelli - [Aya 23 8B vs Llama 3.1 8B Instruct](/mt/compare/aya-23-8b-vs-llama-3-1-8b-instruct/) - [Aya Expanse 8B vs Llama 3.1 8B Instruct](/mt/compare/aya-expanse-8b-vs-llama-3-1-8b-instruct/) - [Deepseek Coder 7B Instruct V1.5 vs Llama 3.1 8B Instruct](/mt/compare/deepseek-coder-7b-instruct-v1-5-vs-llama-3-1-8b-instruct/) - [DeepSeek Coder V2 Lite Instruct vs Llama 3.1 8B Instruct](/mt/compare/deepseek-coder-v2-lite-instruct-vs-llama-3-1-8b-instruct/) - [DeepSeek R1 0528 Qwen3 8B vs Llama 3.1 8B Instruct](/mt/compare/deepseek-r1-0528-qwen3-8b-vs-llama-3-1-8b-instruct/) - [DeepSeek R1 Distill Llama 8B vs Llama 3.1 8B Instruct](/mt/compare/deepseek-r1-distill-llama-8b-vs-llama-3-1-8b-instruct/)