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Qwen3：思深，行速 | Qwen
经过后训练的模型，例如 Qwen3-30B-A3B，以及它们的预训练基座模型（如 Qwen3-30B-A3B-Base），现已在 Hugging Face 、 ModelScope 和 Kaggle 等平台上开放使用。
Qwen Qwen3-4B-Base · Hugging Face
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the following key improvements over the previously released Qwen2 5:
Qwen3 模型结构 - 知乎专栏
Qwen3的模型结构如下图，本图以Qwen3-32B为示例，其他如Qwen3-14B、Qwen3-8B、Qwen3-4B、Qwen3-1 7B 和 Qwen3-0 6B，只是Hidden Size，KV-Head Num，Layer数等这些参数略有不同。
Qwen3-1. 7B-Base-模型库-ModelZoo-昇腾社区
Qwen3是Qwen系列中最新一代的大型语言模型，提供了密集和混合专家 (MoE)模型的全面套件。基于广泛的训练，Qwen3在推理、指令遵循、代理功能和多语言支持方面取得了很大的进展。
[2505. 09388] Qwen3 Technical Report - arXiv. org
Qwen3 comprises a series of large language models (LLMs) designed to advance performance, efficiency, and multilingual capabilities The Qwen3 series includes models of both dense and Mixture-of-Expert (MoE) architectures, with parameter scales ranging from 0 6 to 235 billion
Qwen3最佳实践 — swift 3. 7. 0. dev0 文档
训练后，模型将不再认为自己是由“阿里云”训练的“Qwen”，而是由“swift”训练的“swift-robot”。如果需要在离线环境下进行训练，可以手动下载模型和数据集，并指定 --model<model-path> 和 --dataset<dataset-dir>。数据集可以在 Modelscope Hub 上找到。
Qwen3模型架构、训练方法梳理 - 文章 - 开发者社区 - 火山引擎
Qwen3 MoE Base 模型：仅用 1 5 的激活参数就能达到与 Dense 模型相似的性能。即使只有 Qwen2 5 Dense 模型 1 10 的激活参数，仍能保持可比性能。
Qwen3 模型评测最佳实践 | EvalScope
Qwen3 是 Qwen 系列最新一代的大语言模型，提供了一系列密集和混合专家（MoE）模型。基于广泛的训练，Qwen3 在推理、指令跟随、代理能力和多语言支持方面取得了突破性的进展，支持思考模式和非思考模式的无缝切换。
Qwen3：思深，行速原文链接今天，我们宣布推出 Qwen3，这是 Qwen 系列大型语言模型的最新成员。我们的旗舰模型 Qwen3 . . .
例如，Qwen3-1 7B 4B 8B 14B 32B-Base 分别与 Qwen2 5-3B 7B 14B 32B 72B-Base 表现相当。特别是在 STEM、编码和推理等领域，Qwen3 Dense 基础模型的表现甚至超过了更大规模的 Qwen2 5 模型。
Qwen Qwen3-4B · Hugging Face
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features: