LongCat-Video is a basic video generation model with 13.6 billion parameters, which performs excellently in generation tasks such as text-to-video, image-to-video, and video frame continuation. It is particularly good at efficient and high-quality long video generation.

MultimodalDiffusersMultiple Languages

Qwen3-VL-32B-Thinking-AWQ is a quantized version based on the Qwen/Qwen3-VL-32B-Thinking model and is the most powerful vision-language model in the Tongyi series. This model has excellent text understanding and generation capabilities, in-depth visual perception and reasoning capabilities, supports long context and video understanding, and is suitable for image-text to text conversion tasks.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Qwen 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.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Qwen series, with 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.

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 understanding capabilities, and strong agent interaction capabilities. This model is the thinking version with 2B parameters, specifically enhanced for reasoning capabilities.

MultimodalTransformers

Qwen3-VL-2B-Instruct-FP8 is the FP8 quantized version of the most powerful vision-language model in the Qwen 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 enhanced spatial and video dynamic understanding abilities.

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-32B-Instruct-FP8 is the FP8 quantized version of the most powerful vision-language model in the Qwen series. It uses fine-grained fp8 quantization with a block size of 128, and its performance metrics are almost the same as 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 capabilities.

MultimodalTransformers

Qwen3-VL is the most powerful vision-language model in the Qwen series, achieving a comprehensive upgrade in all aspects. It has excellent text understanding and generation capabilities, deeper visual perception and reasoning capabilities, a longer context length, stronger spatial and video dynamic understanding capabilities, and better agent interaction capabilities.

MultimodalTransformers

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

MultimodalTransformers

A high-performance video generation model with 4-step reasoning based on LoRA. The LoRA weights are extracted from the Wan2.2 distilled model, featuring flexible deployment, efficient storage, and excellent generation quality.

MultimodalDiffusers

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 series. 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. 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 is the latest generation of vision-language model launched by Alibaba. It has excellent text understanding and generation capabilities, in-depth visual perception and reasoning abilities, supports long context processing and video understanding, and provides an instruction-optimized version.

MultimodalSafetensors

This is a LoRA adapter trained based on the Wan2.1-T2V-14B model, specifically designed for text-to-video conversion tasks. The model is trained using the AI Toolkit to support video generation applications.

MultimodalDiffusers

This is the GGUF format version of the GPT-OSS 20B model based on WeOpenML, which first implements the innovative MoE CPU expert offloading technology. This technology achieves a 99.9% reduction in video memory while maintaining the full generation quality, and only requires 2MB of video memory to run a 20 billion parameter mixture of experts model.

Natural Language ProcessingSafetensorsMultiple Languages

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

Wan2.2 is a significant upgrade version of the basic video model. It introduces the Mixture of Experts (MoE) architecture, incorporates carefully curated aesthetic data, and is trained on larger datasets to enhance the ability to generate complex motions. This model supports generating 5-second videos with 480P and 720P resolutions, and has significant improvements in video generation quality and performance.

MultimodalDiffusers

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