Qwen’s cover photo
Qwen

Qwen

Software Development

Open Foundation Models

About us

Industry
Software Development
Company size
51-200 employees
Type
Public Company

Employees at Qwen

Updates

  • View organization page for Qwen

    8,903 followers

    ✨ Excited to share QVQ-Max, our visual reasoning model that's still evolving We've been experimenting with this approach for a while - try it out on Qwen Chat! (https://chat.qwen.ai) 🚀 Just upload any image or video, ask away, and hit the "Thinking" button to see how it processes visual information step-by-step. It's a work-in-progress but fascinating to watch! Your early feedback will be super helpful as we continue developing! 🙏 Blog: https://lnkd.in/gyEtiFHQ

  • View organization page for Qwen

    8,903 followers

    Voice Chat + Video Chat! Just in Qwen Chat (https://chat.qwen.ai)! You can now chat with Qwen just like making a phone call or making a video call! Check the demo in https://lnkd.in/eJfjBFc7 What's more, we opensource the model behind all this, Qwen2.5-Omni-7B, under the license of Apache 2.0, and we release the technical report to share all our details! Qwen Chat: https://chat.qwenlm.ai/ Paper: https://lnkd.in/eunDsrMh Blog: https://lnkd.in/eMqzh2h6 GitHub: https://lnkd.in/eNyW5AKT Hugging Face: https://lnkd.in/ecN6kBwX ModelScope: https://lnkd.in/exYYqvGi This is an omni model, which is a single model that can understand text, audio, image, and video, and output text and audio. We have a designed "thinker-talker" architecture that makes thinking and talking simultaneously available. We believe that the trend of AGI is belonging to agent based on omni model. This is still a small omni model. We are about to build things better, so stay tuned! 

  • View organization page for Qwen

    8,903 followers

    72B too big for VLM? 7B not strong enough! Then you should use our 32B model, Qwen2.5-VL-32B-Instruct! Blog: https://lnkd.in/g25zYf7f Qwen Chat: https://chat.qwen.ai HF: https://lnkd.in/gEAUv6tB ModelScope: https://lnkd.in/gi2viDKa This time, we further optimize this VLM with reinforcement learning and we have found significant improvements in human preference and also mathematical reasoning. Hope it can be the best choice of your local VLM!

    • No alternative text description for this image
  • View organization page for Qwen

    8,903 followers

    👋 Introducing the Enhanced Qwen Chat We are pleased to announce the latest update to Qwen Chat, designed to deliver a seamless, versatile, and user-centric experience. Explore the key features below and visit chat.qwen.ai to experience the innovation firsthand. • Unified Multimodal Interface All Qwen2.5 models (e.g., Qwen2.5-Max , Qwen2.5-Plus ) now integrate their corresponding VL (Vision-Language) variants into a single interface. This allows you to process text, images, and videos without switching models —simply use your preferred model (e.g., Qwen2.5-Max), and the system automatically leverages its VL counterpart for multimodal inputs. • Enhanced Video Understanding Support for high-resolution video inputs of up to 500MB , enabling detailed analysis and contextual comprehension of dynamic content. • Redesigned Mobile Experience The Qwen Chat web interface has been optimized for mobile devices, featuring a sleek, intuitive design. Plus, enjoy voice-to-text functionality powered by Automatic Speech Recognition (ASR), enabling effortless audio-based interactions. Stay tuned for the upcoming Qwen Chat mobile application. • Guest Mode Accessibility Test Qwen Chat’s capabilities without registration. Create an account to unlock personalized features and an enhanced experience. • Expanded File Upload Capacity Text file upload limits have been doubled to 20MB , with support for 50MB files and multi-file uploads arriving soon. Explore Qwen Chat Today! Visit chat.qwen.ai , try the new features, and share your feedback to help shape the future of Qwen Chat.

    • No alternative text description for this image
  • View organization page for Qwen

    8,903 followers

    🥝 Yesterday we opensourced QwQ-32B, and we put the model on Qwen2.5-Plus + Thinking in Qwen Chat. Based on your feedback, we make a change and put QwQ-32B on the model list of Qwen Chat, and thus you can directly access it by choosing this model. Enjoy and feel free to give us more feedback about the model as well as the product! 💗

    • No alternative text description for this image
  • View organization page for Qwen

    8,903 followers

    Today, we release QwQ-32B, our new reasoning model with only 32 billion parameters that rivals cutting-edge reasoning model, e.g., DeepSeek-R1. Blog: https://lnkd.in/gZbk4FR5 HF: https://lnkd.in/guJzpwsD ModelScope: https://lnkd.in/gF4skbeh Demo: https://lnkd.in/gf6UqVhu Qwen Chat: https://chat.qwen.ai This time, we investigate recipes for scaling RL and have achieved some impressive results based on our Qwen2.5-32B. We find that RL training con continuously improve the performance especially in math and coding, and we observe that the continous scaling of RL can help a medium-size model achieve competitieve performance against gigantic MoE model. Feel free to chat with our new models and provide us feedback!

    • No alternative text description for this image
  • View organization page for Qwen

    8,903 followers

    <think>...</think> QwQ-Max-Preview Qwen Chat: https://chat.qwen.ai/ Blog: https://lnkd.in/gPsYJ-gy 🤔 Today we release "Thinking (QwQ)" in Qwen Chat, backed by our QwQ-Max-Preview, which is a reasoning model based on Qwen2.5-Max. This model is still for preview. It is highly capable of math understanding, coding, agent, etc. Compared with Qwen2.5-Max, it is much smarter and has much more creatitvity. Very soon, we are about to release the official version of QwQ-Max, and we will open-weight both QwQ-Max and Qwen2.5-Max under the license of Apache 2.0! Furthermore, we will also provide smaller variants, e.g., QwQ-32B, which can be deployed on local devices. Also, since a great number of users are expecting our APP, we are going to release an Android and iOS APP while we release our official QwQ-Max. Stay tuned for better things from Qwen!

  • View organization page for Qwen

    8,903 followers

    🚀 We released the tech report of Qwen2.5VL (https://lnkd.in/g3Ja4RGF)! 🎉 It details our model architecture and training details comprehensively. Qwen2.5-VL-72B achieves complete capability alignment with the pure text benchmark Qwen2.5-72B. 📈 It not only maintains top-notch text understanding and generation capabilities but also has industry-leading visual semantic parsing ability. 💪 This means we now have a true deep integration of visual and textual multimodal! 😍

    • No alternative text description for this image

Similar pages

Browse jobs