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  • Hello Qwen2 | Qwen
    The Qwen2 series include base and instruction-tuned models of 5 sizes, including Qwen2-0 5B, Qwen2-1 5B, Qwen2-7B, Qwen2-57B-A14B, Qwen2-72B We illustrate the key information of the models in the following table:
  • Qwen2 - Hugging Face
    Qwen2 models support multiple languages and context lengths up to 131,072 tokens You can find all the official Qwen2 checkpoints under the Qwen2 collection Click on the Qwen2 models in the right sidebar for more examples of how to apply Qwen2 to different language tasks
  • [2407. 10671] Qwen2 Technical Report - arXiv. org
    Qwen2 surpasses most prior open-weight models, including its predecessor Qwen1 5, and exhibits competitive performance relative to proprietary models across diverse benchmarks on language understanding, generation, multilingual proficiency, coding, mathematics, and reasoning
  • Qwen2. 5-VL - GitHub
    Today, we are excited to introduce the latest addition to the Qwen family: Qwen2 5-VL Powerful Document Parsing Capabilities: Upgrade text recognition to omnidocument parsing, excelling in processing multi-scene, multilingual, and various built-in (handwriting, tables, charts, chemical formulas, and music sheets) documents
  • Welcome to Qwen! - Read the Docs
    Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group Both language models and multimodal models are pretrained on large-scale multilingual and multimodal data and post-trained on quality data for aligning to human preferences
  • Qwen2. 5-Omni-7B-AWQ
    ModelScope——汇聚各领域先进的机器学习模型,提供模型探索体验、推理、训练、部署和应用的一站式服务。在这里,共建模型开源社区,发现、学习、定制和分享心仪的模型。
  • 你好,Qwen2 | Qwen
    在针对预训练语言模型的评估中,对比当前最优的开源模型,Qwen2-72B在包括自然语言理解、知识、代码、数学及多语言等多项能力上均显著超越当前领先的模型,如Llama-3-70B以及Qwen1 5最大的模型Qwen1 5-110B。 这得益于其预训练数据及训练方法的优化。 大规模预训练后,我们对模型进行精细的微调,以提升其智能水平,让其表现更接近人类。 这个过程进一步提升了代码、数学、推理、指令遵循、多语言理解等能力。 此外,模型学会对齐人类价值观,它也随之变得更加对人类有帮助、诚实以及安全。 我们的微调过程遵循的原则是使训练尽可能规模化的同时并且尽可能减少人工标注。
  • Qwen2. 5-Omni is a Powerhouse: A Guide with Demo Project
    Qwen2 5-Omni is a multi-modal, end-to-end AI model that accepts inputs in diverse formats like text, audio, image, and video, and generates text and speech responses in natural language Hugging Face's Transformers library provides access to many kinds of AI models beyond just language models, and Qwen2-5-Omni is among them


















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