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

akcit-motion/qwen2.5-3b-instruct-motion is a 3.1 billion parameter instruction-tuned causal language model based on the Qwen2.5 architecture. This model is designed for general-purpose conversational AI tasks, leveraging its instruction-following capabilities. It processes inputs with a substantial context length of 32768 tokens, making it suitable for applications requiring extensive conversational memory or detailed document understanding.