- Qwen3: Think Deeper, Act Faster
Qwen3 represents a significant milestone in our journey toward Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) By scaling up both pretraining and reinforcement learning (RL), we have achieved higher levels of intelligence
- GitHub - QwenLM Qwen3: Qwen3 is the large language model series . . .
We are making the weights of Qwen3 available to the public, including both dense and Mixture-of-Expert (MoE) models The highlights from Qwen3 include: Dense and Mixture-of-Experts (MoE) models of various sizes, available in 0 6B, 1 7B, 4B, 8B, 14B, 32B and 30B-A3B, 235B-A22B
- Qwen Qwen3-8B · Hugging Face
Qwen3 Highlights Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models
- Qwen3: Think Deeper, Act Faster | Hybrid Thinking AI Model
Qwen3 is our latest family of large language models with hybrid thinking capabilities, supporting 119 languages and featuring MoE architecture for unprecedented efficiency
- Qwen-3: Alibaba Clouds Next-Gen Open Source LLM | Apache 2. 0 | MoE Dense
• Mixture-of-Experts (MoE) models: Qwen3-235B (22B activated), Qwen3-30B (3B activated) • Diverse Dense models: 0 6B, 1 7B, 4B, 8B, 14B, 32B • Architectural basis for Hybrid Thinking Mode • Unified Multimodal Encoding technology
- Qwen3. 5-35B-A3B · Models
Qwen3 5 Highlights Qwen3 5 features the following enhancement: Unified Vision-Language Foundation: Early fusion training on multimodal tokens achieves cross-generational parity with Qwen3 and outperforms Qwen3-VL models across reasoning, coding, agents, and visual understanding benchmarks
- [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
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models
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