mistral-nemo vs llama-3.1-8b-instruct

Mistral-Nemo is a 12B-parameter transformer-based large language model jointly developed by Mistral AI and NVIDIA. It is trained on a substantial multilingual and code dataset, achieving superior performance over models of similar or smaller sizes. Notable features include a large 128k token context window, advanced instruction tuning, and robust function calling capabilities.

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.