llama-3.1-8b-instruct vs llama-3.1-405b-instruct

Llama 3.1-8B-Instruct is an auto-regressive language model optimized for multilingual dialogue and instruction-following tasks. It employs supervised fine-tuning and reinforcement learning with human feedback to align with human preferences. The model supports a 128k token context and is suitable for generating text and code in multiple languages.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.