Qwen2.5-VL is a vision-language model designed for AI agents, finance, and commerce. It excels in visual recognition, reasoning, long video analysis, object localization, and structured data extraction.

Model is trained and ready for deployment

Qwen2_5-VL-7B-Instruct

The maximum number of tokens to generate. Shorter token lengths will provide faster performance.

A decimal number that determines the degree of randomness in the response

An alternative to sampling with temperature, where the model considers the results of the tokens with top_p probability mass.

Qwen2.5-VL is a vision-language model designed for AI agents, finance, and commerce. It excels in visual recognition, reasoning, long video analysis, object