**阿里通义千问团队发布Qwen1.5-MoE-A2.7B：高效能MoE模型挑战参数规模极限**
近日，阿里通义千问团队在人工智能领域取得了重大突破，正式推出了Qwen系列的首个MoE（Mixture of Experts）模型——Qwen1.5-MoE-A2.7B。这款创新模型以仅27亿个激活参数的精巧设计，展现出与当前最尖端的70亿参数模型，如Mistral 7B和Qwen1.5-7B相媲美的性能，实现了参数效率与效能的完美平衡。
Qwen1.5-MoE-A2.7B的非嵌入参数数量仅为20亿，相比Qwen1.5-7B的65亿Non-Embedding参数，减小了大约三分之二，显示了模型在压缩规模的同时保持高性能的能力。更为显著的是，新模型在训练成本上实现了75%的显著降低，这对于大规模模型的训练和优化而言，无疑是一次重大突破。此外，Qwen1.5-MoE-A2.7B在推理速度上也取得了显著提升，达到了1.74倍的增益，为实际应用提供了更快的响应速度。
这一成果的发布，标志着阿里通义千问团队在模型效率优化上的领先地位，也为人工智能领域的模型设计提供了新的思路。Qwen1.5-MoE-A2.7B的成功，不仅将推动AI技术向更高效、更经济的方向发展，也为未来更大规模模型的训练和应用奠定了坚实的基础。这一创新成果的详细信息已公开在魔搭社区，期待引发业界更深入的探讨与合作。
英语如下：
**News Title:** “Alibaba Qwen Team Launches Qwen1.5-MoE-A2.7B: A High-Performance MoE Model Challenging 7B Parameter Giants with Double Efficiency and 75% Lower Cost”
**Keywords:** Qwen1.5-MoE-A2.7B, Performance Boost, Cost Reduction
**News Content:**
The Alibaba Qwen Thousand-Ask team recently made a significant breakthrough in the field of artificial intelligence with the release of their first MoE (Mixture of Experts) model in the Qwen series — Qwen1.5-MoE-A2.7B. This innovative model, with only 2.7 billion active parameters, demonstrates comparable performance to state-of-the-art models with 7 billion parameters, such as Mistral 7B and Qwen1.5-7B, achieving an optimal balance between parameter efficiency and effectiveness.
Qwen1.5-MoE-A2.7B has a non-embedding parameter count of just 2 billion, a reduction of approximately two-thirds compared to Qwen1.5-7B’s 6.5 billion Non-Embedding parameters, showcasing the model’s capability to maintain high performance while downsizing. More impressively, the new model reduces training costs by a substantial 75%, marking a significant milestone in the optimization of large-scale model training. Furthermore, Qwen1.5-MoE-A2.7B boasts a notable increase in inference speed, achieving a 1.74x gain, thereby providing faster response times for practical applications.
This achievement underscores the Alibaba Qwen Thousand-Ask team’s leadership in model efficiency optimization and introduces a new perspective in AI model design. The success of Qwen1.5-MoE-A2.7B not only propels AI technology towards higher efficiency and affordability but also lays a solid foundation for training and deploying even larger models in the future. Detailed information about this innovative accomplishment has been made public on the ModelScope community, inviting further in-depth discussions and collaborations within the industry.
【来源】https://mp.weixin.qq.com/s/6jd0t9zH-OGHE9N7sut1rg
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