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Recently, Huggingface, the world's largest open source AI community, released the latest Open LLM Leaderboard. The results show that all ten of the top-ranked open source large models are derivative models that have been fine-tuned based on Alibaba Tongyi Qwen's (Qwen) open-source model. This achievement marks Qwen's dominant position in the open-source AI field and further enhances its global influence. The Open LLM Leaderboard is widely...

The Qwen team recently announced the open-source release of their latest multimodal reasoning model, QVQ, marking an important step forward in the capabilities of artificial intelligence in visual understanding and complex problem-solving. This model is based on Qwen2-VL-72B and aims to enhance AI reasoning capabilities by combining language and visual information. In the MMMU evaluation, QVQ achieved a high score of 70.3, demonstrating significant performance improvements over Qwen2-VL-72B-Instruct in several math-related benchmark tests.

The 2024 Yunqi Conference opened grandly in Hangzhou, with Alibaba Group CEO and Alibaba Cloud Intelligence Group Chairman and CEO Wu Yongming delivering a keynote speech. During the conference, Alibaba announced a series of groundbreaking releases, including the launch of the next-generation open-source model Qwen2.5, which outperforms Llama405B and firmly holds the position of the 'strongest open-source large model'.

Alibaba Group's Tongyi Qwen QwenLM project has encountered an unexpected takedown of its Github page, resulting in a 404 error message when users try to access it. Project leader Lin Junyang responded in a social media post, stating that the team has not disappeared and is in communication with officials to resolve the page takedown issue. Despite the team's efforts, the page remains inaccessible. It is worth noting that the team recently released the Qwen2-VL model, which has excelled in processing video content up to 20 minutes long, surpassing multiple authoritative evaluation metrics for multimodal models, with some metrics even exceeding those of GPT.

On September 2nd, Tongyi Qwen announced the open sourcing of its second-generation visual language model Qwen2-VL, and launched APIs for the 2B and 7B sizes as well as their quantized versions on the Aliyun Bailian platform for direct user access. The Qwen2-VL model achieves comprehensive performance improvements in several areas. It can understand images of different resolutions and aspect ratios, setting global leading performance on benchmarks such as DocVQA, RealWorldQA, and MTVQA.

The Qwen-72B model from Tongyi Qwen has secured the top position in the Hugging Face open source pre-trained model ranking. The Qwen-72B model boasts 72 billion parameters and an overall score of 73.6. The Hugging Face open source model ranking evaluates top global open source models. Tongyi Qwen's Qwen-72B model excels in reading comprehension, logical reasoning, mathematical calculation, and factual question answering. Tongyi Qwen is launched by Alibaba Cloud.