Online Tutorial Summary | Qwen Continuous SOTA-level Models, Covering Text Rendering/Video Creation/Programming Assistance
Recently, the Alitong Yiqianwen team has continued to refresh the open source efficiency at the speed of "volume king".The open source models released within two weeks cover three core areas: image generation, video creation, and programming assistance, and a new version of the non-thinking model is launched.Not only does its iteration speed lead the industry average, it has also refreshed the SOTA in the field many times.
For example, Qwen-Image, its basic image generation model, achieves precise Chinese rendering; the "dessert-level" programming model Qwen3-Coder-Flash provides lightweight model deployment efficiency while achieving complex task processing capabilities close to top-level closed-source models; Qwen3-30B-A3B-Instruct-2507 has made a comprehensive leap in thinking ability, and can be comparable to GPT-4o even with only activating 3B parameters; Wan 2.2, the world's first MoE video generation model, can also run AI videos with cinematic effects on consumer-grade graphics cards.
In addition, the Tongyi Qianwen team has previously released large models such as Qwen2.5-VL-32B-Instruct and Qwen3 series, which are called "Source God" by some developers.The Tongyi Qianwen team continues to enrich its open source model matrix, anchoring architectural innovation, efficiency improvement, and three-dimensional breakthroughs in scene development, with performance comparable to industry giants.For developers, the update and iteration of open source models not only greatly reduces the cost of model deployment, but also activates users' innovative vitality and promotes the prosperity, development and implementation of AI technology.
Currently, the "Tutorials" section of HyperAI's official website has launched multiple Tongyi open source model tutorials. If you are looking for a one-stop platform to experience and deploy Tongyi large models, you are welcome to come and experience it and witness the technological breakthroughs and application innovations of domestic open source models together!
1. One-click deployment of Qwen3-4B-2507
* Online operation:https://go.hyper.ai/D0xCy
The model significantly outperforms the Qwen3 small model of the same size in complex problem reasoning, mathematical ability, coding ability, and multi-round function call ability.
2. Qwen-Image: An image model with advanced text rendering capabilities
* Online operation:https://go.hyper.ai/xQgqj
This model has achieved a breakthrough in the field of text rendering, supporting high-fidelity output at the multi-line paragraph level in both Chinese and English, and has the ability to accurately restore complex scenes and millimeter-level details.
3. One-click deployment of Qwen3-Coder-30B-A3B-Instruct
* Online operation:https://go.hyper.ai/jC7S9
The model has excellent performance among open models on proxy coding, proxy browser usage and other basic coding tasks. With its strong context understanding and logical reasoning capabilities, it can efficiently handle coding tasks in multiple programming languages.
4. One-click deployment of Qwen3-30B-A3B-Instruct-2507
* Online operation:https://go.hyper.ai/9Z43U
This model is an updated version of the Qwen3-30B-A3B's no-thinking mode. Its highlight is that by activating only the 3B parameter, it can demonstrate capabilities comparable to those of the Gemini 2.5-Flash (no-thinking mode) and GPT-4o.
5. Wan2.2: Open Advanced Large-Scale Video Generation Model
* Online operation:https://go.hyper.ai/AXaIS
This model introduces the mixture of experts (MoE) architecture for the first time, effectively improving generation quality and computational efficiency. It also pioneers a film-level aesthetic control system that can accurately control aesthetic effects such as light, shadow, color, and composition.
6. Use vLLM+Open-webUI to deploy Qwen3-30B-A3B
* Online operation:https://go.hyper.ai/OmVjM
Compared to previous versions, the Qwen3-30B-A3B supports seamless switching between thinking mode and non-thinking mode, ensuring optimal performance in various scenarios.
7. Use vLLM+Open-webUI to deploy Qwen3 series models
* Online operation:https://go.hyper.ai/RpS5S
Based on extensive training experience, Qwen3 has achieved breakthroughs in reasoning, command following, agent capabilities, and multilingual support. It supports text, image, audio, and video processing, meeting the needs of multimodal content creation and cross-modal tasks. The project provides five models: 14B, 8B, 4B, 1.7B, and 0.6B.
8. One-click deployment of Qwen2.5-VL-32B-Instruct-AWQ
* Online operation:https://go.hyper.ai/EVDhc
Based on the Qwen2.5-VL series, this model is optimized through reinforcement learning technology, achieving a breakthrough in multimodal capabilities with a parameter scale of 32B. Core features in fine-grained visual analysis, output style, and mathematical reasoning have been completely upgraded.