Qwen3-VL-4B-Instruct is the latest vision-language model in the Tongyi Qianwen series. It achieves excellent visual perception, text understanding and generation, spatial reasoning, and intelligent agent interaction capabilities at the 4B parameter scale. It supports long contexts and video understanding, and has powerful OCR and multi-language processing capabilities.

MultimodalTransformers

Qwen3-VL-8B-Thinking is the most powerful vision-language model in the Tongyi Qianwen 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.

MultimodalGguf

Qwen3-VL-8B-Thinking is the most powerful vision-language model in the Tongyi Qianwen series, with an 8B parameter version featuring enhanced reasoning capabilities. This model has been comprehensively upgraded in text understanding, visual perception, spatial understanding, long context processing, etc., and supports multimodal reasoning and agent interaction.

MultimodalGguf

Qwen3-VL-2B-Instruct-GGUF is the GGUF quantized version of the multimodal vision-language model in the Tongyi Qianwen series. It has 2 billion parameters and supports the seamless integration of image understanding and text generation. It can run efficiently on devices such as CPUs and GPUs.

MultimodalTransformers

Qwen3-Next-80B-A3B-Thinking is a new-generation thinking large language model launched by the Tongyi Qianwen team. It adopts an innovative hybrid attention mechanism and a highly sparse MoE architecture. While maintaining efficient reasoning, it has powerful complex reasoning capabilities and natively supports a context length of 262K.

Natural Language ProcessingTransformers

The Dorado Network Surfing Tool Extended Version is a function call and intelligent reasoning model fine-tuned based on Tongyi Qianwen 3 - 4B. It is designed for network search orchestration, tool-enhanced reasoning, and dynamic problem solving. It excels in intelligent decision-making, tool selection, and structured execution processes.

Natural Language ProcessingTransformersEnglish

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

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

Qwen3-30B-A3B-Instruct-2507 is a large language model with 30 billion parameters launched by the Tongyi Qianwen team of Alibaba. It is specifically optimized for instruction following tasks. This model supports various natural language processing tasks such as text generation and dialogue interaction, and is open for developers to use through the LM Studio community model program.

Natural Language ProcessingGguf

Qwen3-Embedding-8B is an 8-billion parameter text embedding model developed by the Tongyi Qianwen team at Alibaba. It is optimized and implemented based on the MLX library and is specifically designed for sentence similarity calculation and text feature extraction tasks.

Natural Language ProcessingMlx

Qwen3 is the latest generation of the Tongyi Qianwen series of large language models, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in reasoning, instruction following, agent capabilities, and multilingual support.

Natural Language ProcessingGguf

Qwen3 is the latest generation of large language models in the Tongyi Qianwen series, offering a complete suite of dense models and Mixture of Experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Natural Language ProcessingGgufEnglish

Qwen3 is the latest generation of large language models in the Tongyi Qianwen series, offering a complete combination of dense models and Mixture of Experts (MoE) models. Based on large-scale training, Qwen3 achieves breakthrough progress in reasoning capabilities, instruction following, agent functions, and multilingual support.

Natural Language ProcessingGgufEnglish

Qwen3 is the latest version of the Tongyi Qianwen series of large language models, offering a range of dense and mixture of experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in reasoning, instruction following, agent capabilities, and multilingual support.

Natural Language ProcessingGgufEnglish

Qwen3 is the latest version of the Tongyi Qianwen series of large language models, offering a range of dense and Mixture of Experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Natural Language ProcessingGgufEnglish

Qwen3 is the latest version of the Tongyi Qianwen series of large language models, offering a complete suite of dense models and Mixture of Experts (MoE) models. Based on extensive training data, Qwen3 achieves breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Natural Language ProcessingGguf

A multimodal large model launched by Tongyi Qianwen, supporting image and text generation and 128k long context processing, with multilingual capabilities.

MultimodalGgufEnglish