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Qwen Chat offers comprehensive functionality spanning chatbot, image and video understanding, image generation, document processing, web search integration, tool utilization, and artifacts.
Welcome to Qwen 👋 This is the organization of Qwen, which refers to the large language model family built by Alibaba Cloud. In this organization, we continuously release large language models (LLM), large multimodal models (LMM), and other AGI-related projects. Feel free to visit Qwen Chat and enjoy our latest models!
Qwen (also called Tongyi Qianwen, Chinese: 通义千问) is a family of large language models developed by Alibaba Cloud. In July 2024, it was ranked as the top Chinese language model in some benchmarks and third globally behind the top models of Anthropic and OpenAI. [1]
4 months after our first release of Qwen-7B, which is the starting point of our opensource journey of large language models (LLM), we now provide an introduction to the Qwen series to give you a whole picture of our work as well as our objectives. Below are important links to our opensource projects and community. PAPER GITHUB HUGGING FACE MODELSCOPE DISCORD Additionally, we have WeChat groups ...
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud. - QwenLM/Qwen
Alibaba Cloud's general-purpose AI models. Qwen has 26 repositories available. Follow their code on GitHub.
About Qwen Alibaba Cloud provides Tongyi Qianwen (Qwen) models, a series of large language models (LLMs) and multimodal models (MLLMs), to the open-source community. The latest Qwen3 models adopt hybrid thinking modes ("Thinking" and "Non-Thinking") that allow you to flexibly control reasoning performance, speed, and costs. Lightweight yet powerful, Qwen3 models achieve competitive results in ...
Qwen Chat - Qwen Chat AI assistant that provides access to Qwen LLM models and can be used by content creators, developers, and researchers, offering web and image searches, artifact management, and more to enhance productivity.
Qwen2 is a family of large language models (pretrained, instruction-tuned and mixture-of-experts) available in sizes from 0.5B to 72B parameters. The models are built on the Transformer architecture featuring enhancements like group query attention (GQA), rotary positional embeddings (RoPE), a mix of sliding window and full attention, and dual chunk attention with YARN for training stability ...
QwenAI learns from your preferences, delivering interactions rich in wit, empathy, and depth. Debate philosophy, unwind with lighthearted banter, or dive into industry trends—all while the AI evolves with your tone and interests.