Qwen/Qwen2.5-14B-Instruct-1M

Qwen2.5-14B-Instruct-1M is a 14.7 billion parameter causal language model developed by Qwen, featuring a transformer architecture. This model is specifically optimized for ultra-long context tasks, supporting an impressive context length of up to 1 million tokens while maintaining strong performance on shorter tasks. It is designed for advanced applications requiring extensive contextual understanding and processing, particularly when deployed with its custom vLLM framework for efficiency.