akcit-motion/qwen2.5-3b-instruct-motion-base

akcit-motion/qwen2.5-3b-instruct-motion-base is a 3.1 billion parameter instruction-tuned causal language model based on the Qwen2.5 architecture. Developed by akcit-motion, this model is designed for general-purpose conversational AI tasks. With a context length of 32768 tokens, it can process and generate extensive text, making it suitable for applications requiring detailed understanding and generation of long-form content.