Models

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2: * Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. * Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. * Long-context Support up to 128K tokens and can generate up to 8K tokens. * Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.

Qwen2-VL is the latest iteration of multimodal large language models developed by the Qwen team at Alibaba Cloud. This advanced AI system represents a significant leap forward in the field of vision-language models, building upon its predecessor, Qwen-VL. Qwen2-VL boasts state-of-the-art capabilities in understanding images of various resolutions and aspect ratios, as well as the ability to comprehend videos exceeding 20 minutes in length. One of the most notable features of Qwen2-VL is its versatility as an agent capable of operating mobile devices, robots, and other systems based on visual input and text instructions. This makes it a powerful tool for a wide range of applications, from personal assistance to industrial automation. The model also offers robust multilingual support, enabling it to understand and process text in various languages within images, catering to a global user base.

Qwen2-VL is the latest iteration of multimodal large language models developed by the Qwen team at Alibaba Cloud. This advanced AI system represents a significant leap forward in the field of vision-language models, building upon its predecessor, Qwen-VL. Qwen2-VL boasts state-of-the-art capabilities in understanding images of various resolutions and aspect ratios, as well as the ability to comprehend videos exceeding 20 minutes in length. One of the most notable features of Qwen2-VL is its versatility as an agent capable of operating mobile devices, robots, and other systems based on visual input and text instructions. This makes it a powerful tool for a wide range of applications, from personal assistance to industrial automation. The model also offers robust multilingual support, enabling it to understand and process text in various languages within images, catering to a global user base.

Qwen2-Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).

Qwen2-Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).

Qwen2-Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).

Qwen2-Audio is the new series of Qwen large audio-language models. Qwen2-Audio is capable of accepting various audio signal inputs and performing audio analysis or direct textual responses with regard to speech instructions. We introduce two distinct audio interaction modes: * voice chat: users can freely engage in voice interactions with Qwen2-Audio without text input; * audio analysis: users could provide audio and text instructions for analysis during the interaction;