• open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.

Qwen2.5-Coder-32B-Instruct is a SOTA open-weight code model that rivaled GPT-4o coding performance, with a diverse size range (0.5B to 32B) letting you run local coding assistants sized to your hardware.

• articleChinese CLIP: Contrastive Vision-Language Pretraining in Chinese
• articleOFASys: Enabling Multitask Learning with One Line of Code!
• articleQwen1.5-MoE: Matching 7B Model Performance with 1/3 Activated Parameters
• articleGeneralizing an LLM from 8k to 1M Context using Qwen-Agent

• articleQwen2.5-Coder: Code More, Learn More!Qwen Team
• articleQwen3-Coder: Agentic Coding in the WorldQwen Team
• articleQwen2.5: A Party of Foundation Models!Qwen Team

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