Qwen3-VL is the most powerful vision-language model in the Tongyi series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, enhanced spatial and video understanding capabilities, and strong agent interaction capabilities. This model is the thinking version with 2B parameters, specifically enhanced for reasoning capabilities.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Tongyi series, with comprehensive upgrades in text understanding and generation, visual perception and reasoning, context length, spatial and video understanding capabilities, etc., and it has excellent multimodal interaction capabilities.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Tongyi series, achieving a comprehensive upgrade in all aspects. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning abilities, long context support, strong spatial and video dynamic understanding abilities, and outstanding agent interaction abilities.

MultimodalSafetensors

Qwen3-VL is the most powerful vision-language model in the Tongyi large model series, with comprehensive upgrades in text understanding, visual perception, spatial understanding, video processing, etc., providing excellent multimodal capabilities.

MultimodalSafetensors

Qwen3-VL is the most powerful vision-language model in the Tongyi large model series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, strong spatial and video dynamic understanding capabilities, and outstanding agent interaction capabilities.

MultimodalSafetensors

Qwen3-VL-30B-A3B-Thinking-AWQ is a quantized version based on the Qwen/Qwen3-VL-30B-A3B-Thinking model and is the most powerful visual language model in the Tongyi series. This version has been comprehensively upgraded in aspects such as text understanding and generation, visual perception and reasoning, context length, spatial and video dynamic understanding, and agent interaction capabilities.

MultimodalTransformers

Qwen3-VL-30B-A3B-Thinking-FP8 is the FP8 quantized version of the most powerful vision-language model in the Tongyi series. It uses fine-grained fp8 quantization with a block size of 128, and its performance indicators are almost the same as those of the original BF16 model. This model has excellent text understanding and generation capabilities, in-depth visual perception and reasoning abilities, and supports long contexts and video understanding.

MultimodalSafetensors

Qwen3-VL-30B-A3B-Instruct-FP8 is the FP8 quantized version of the most powerful vision-language model in the Tongyi series. It uses fine-grained FP8 quantization with a block size of 128, and its performance is almost the same as that of the original BF16 model. This model has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, and strong agent interaction capabilities.

MultimodalSafetensors

Qwen3-VL-235B-A22B-Thinking-FP8 is the FP8 quantized version of the most powerful vision-language model in the Tongyi series. It uses fine-grained fp8 quantization with a block size of 128, and its performance metrics are almost the same as those of the original BF16 model. This model has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, and strong agent interaction capabilities.

MultimodalSafetensors

Qwen3-VL-235B-A22B-Instruct-FP8 is the FP8 quantized version of the most powerful vision-language model in the Tongyi series. It uses fine-grained fp8 quantization with a block size of 128, and its performance is almost the same as that of the original BF16 model. This model has excellent text understanding and generation capabilities, in-depth visual perception and reasoning abilities, long context support, and strong spatial and video dynamic understanding abilities.

MultimodalSafetensors

Qwen3-VL is the most powerful vision-language model in the Tongyi series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context processing, spatial and video dynamic understanding capabilities, and outstanding agent interaction capabilities.

MultimodalSafetensors

Qwen3-VL is the most powerful vision - language model in the Tongyi series, with excellent text understanding and generation capabilities, in - depth visual perception and reasoning abilities, long - context support, enhanced spatial and video dynamic understanding abilities, and strong agent interaction capabilities.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Tongyi series. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, long context support, enhanced spatial and video dynamic understanding capabilities, and powerful agent interaction capabilities.

MultimodalTransformers

Qwen3-Next-80B-A3B-Instruct is an efficient sparse mixture of experts model developed by the Tongyi Qianwen team. It has a total of 80 billion parameters, with only 3 billion active parameters. The model adopts an innovative hybrid attention mechanism and a MoE architecture with an extremely low activation rate, significantly improving inference efficiency while maintaining strong performance. It natively supports a context length of 262,000 tokens and can be extended to 1 million tokens.

Natural Language ProcessingTransformers

Qwen2.5-VL-7B-Instruct is a multimodal vision-language model developed by the Tongyi Qianwen team at Alibaba. Based on a parameter scale of 7 billion, it is specifically optimized and trained for visual question-answering tasks. This model can understand and analyze image content and generate accurate natural language answers.

MultimodalSafetensorsEnglish

This is the GGUF quantized version of the Qwen/Qwen3-4B language model, a large language model with 4 billion parameters developed by Alibaba's Tongyi series. It is designed for consumer-grade hardware and supports powerful reasoning, intelligent agent workflows, and multilingual interaction.

Natural Language ProcessingGgufMultiple Languages

Qwen3-Next-80B-A3B-Instruct is a large-scale language model developed by the Tongyi Qianwen team of Alibaba Cloud. It has been optimized with 4-bit quantization using the MLX framework and specifically optimized for Apple chip devices to provide efficient inference capabilities.

Natural Language ProcessingTransformers

Qwen3-Next-80B-A3B-Instruct is the latest generation of large language model developed by the Tongyi Qianwen team at Alibaba. It adopts an innovative hybrid attention mechanism and a highly sparse mixture-of-experts architecture. While maintaining a total of 80B parameters, only 3B parameters are activated, achieving efficient context modeling and inference acceleration. It natively supports a context length of 262K and can be extended to 1M tokens.

Natural Language ProcessingTransformers

Qwen3-4B-Instruct is a large language model with 4 billion parameters developed by the Tongyi Qianwen team at Alibaba. It is optimized based on the Qwen3 architecture and specifically trained for dialogue and instruction-following tasks, with strong text generation and understanding capabilities.

Natural Language ProcessingTransformers

Qwen-Image is a multimodal image generation foundation model in the Tongyi series. It excels in complex text rendering and precise image editing, especially in Chinese text rendering, and supports a variety of image generation and editing tasks.

Computer VisionDiffusersMultiple Languages