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title: Alibaba Releases Qwen1.5-MoE-A2.7B: A Small MoE Model...
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og:description: Qwen1.5-MoE-A2.7B is an improved version of Qwen, a Large Language Model (LLM) series developed by the Qwen team at Alibaba Cloud. It performs on par with...
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# Alibaba Releases Qwen1.5-MoE-A2.7B: A Small MoE Model with only 2.7B Activated Parameters yet Matching the Performance of State-of-the-Art 7B models like Mistral 7B

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 4 min read · 0 upvotes · 0 comments

## Summary

Qwen1.5-MoE-A2.7B is an improved version of Qwen, a Large Language Model (LLM) series developed by the Qwen team at Alibaba Cloud. It performs on par with heavyweight 7B models like Mistral 7B and Qwen1.5-7B, despite having only 2.7 billion activated parameters. The architecture of Qwen1.5-MoE-A2.7B utilizes fine-grained experts and a generalized MoE routing paradigm.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/03/29/alibaba-releases-qwen1-5-moe-a2-7b-a-small-moe-model-with-only-2-7b-activated-parameters-yet-matching-the-performance-of-state-of-the-art-7b-models-like-mistral-7b/>

---

Tags: [#ai](https://daily.dev/tags/ai), [#alibaba](https://daily.dev/tags/alibaba), [#machine-learning](https://daily.dev/tags/machine-learning), [#mixture-of-experts](https://daily.dev/tags/mixture-of-experts)

[View this post on daily.dev](https://daily.dev/posts/alibaba-releases-qwen1-5-moe-a2-7b-a-small-moe-model-with-only-2-7b-activated-parameters-yet-matchi-y4t2xirgw)

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