VityaVitalich/Llama3.1-8b-instruct

VityaVitalich/Llama3.1-8b-instruct is an 8 billion parameter instruction-tuned causal language model based on the Llama 3.1 architecture, developed by VityaVitalich. This model is designed for general-purpose conversational AI and instruction following, leveraging its substantial parameter count and 32768 token context length for robust performance across various NLP tasks. Its primary strength lies in its ability to process and generate human-like text based on given instructions, making it suitable for a wide range of interactive applications.