|
- Qwen3: Think Deeper, Act Faster | Qwen
Qwen3 models introduce a hybrid approach to problem-solving They support two modes: Thinking Mode: In this mode, the model takes time to reason step by step before delivering the final answer This is ideal for complex problems that require deeper thought
- GitHub - QwenLM Qwen3: Qwen3 is the large language model series . . .
We are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models These models represent our most advanced and intelligent systems to date, improving from our experience in building QwQ and Qwen2 5
- Qwen3:思深,行速 | Qwen
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 Qwen3-235B-A22B 在代码、数学、通用能力等基准测试中,与 DeepSeek-R1、o1、o3-mini、Grok-3 和 Gemini-2 5-Pro 等顶级模型相比,表现出极具竞争力的结果。 此外,小型 MoE 模型 Qwen3-30B-A3B 的激活参数数量是 QwQ-32B 的 10%,表现更胜一筹,甚至像 Qwen3-4B 这样的小模型也能匹敌 Qwen2 5-72B-Instruct 的性能。
- Qwen Qwen3-32B · 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:
- Qwen3 Technical Report - arXiv. org
Qwen3 comprises a series of large language models (LLMs) designed to advance performance, eficiency, 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
- [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
- Qwen Qwen3-8B-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 - Hugging Face
The Qwen3 transformer with a span classification head on top for extractive question-answering tasks like SQuAD (a linear layer on top of the hidden-states output to compute span start logits and span end logits)
|
|
|