Qwen2.5 Technical Report
FreeComprehensive LLM series with strong performance and open-weight options
About Qwen2.5 Technical Report
Qwen2.5 is a comprehensive series of large language models (LLMs) from Alibaba Cloud, pre-trained on 18 trillion tokens and fine-tuned with over 1 million supervised samples and multi-stage reinforcement learning. The series includes open-weight models (base and instruction-tuned, quantized) and proprietary MoE variants (Qwen2.5-Turbo, Qwen2.5-Plus) available via Alibaba Cloud Model Studio. The flagship open-weight model, Qwen2.5-72B-Instruct, achieves top-tier performance on benchmarks evaluating language understanding, reasoning, mathematics, coding, and human preference alignment, competitive with Llama-3-405B-Instruct despite being five times smaller. Qwen2.5-Turbo and Qwen2.5-Plus offer cost-effectiveness competitive with GPT-4o-mini and GPT-4o respectively. The models also serve as the foundation for specialized models such as Qwen2.5-Math, Qwen2.5-Coder, QwQ, and multimodal models.
Key Features
Pros & Cons
- Strong pre-training on 18T tokens provides robust common sense and expert knowledge
- Advanced post-training with RL improves instruction following and long text generation
- Open-weight models enable customization, research, and deployment flexibility
- Competitive performance against much larger models (e.g., Llama-3-405B)
- Cost-effective proprietary MoE variants competitive with GPT-4o-mini and GPT-4o
- Serves as a solid foundation for specialized models like math, coding, and multimodal AI