Qwen2.5 Coder 32B Instruct

Qwen2.5 Coder 32B Instruct - code-specific Qwen large language model

Qwen2.5-Coder is described as Qwen’s latest series of code-specific large language models, and this 32B Instruct version is the instruction-tuned model in that family. It is positioned around code generation, code reasoning, and code fixing.

Documented traits

• Type: Causal language model.
• Training stage: Pretraining and post-training.
• Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias.
• Context length: Full 131,072 tokens.
• Scale: 32.5B parameters, with 31.0B non-embedding parameters.
• Attention layout: 64 layers and 40 Q heads / 8 KV heads using GQA.

What makes it distinct

The model is part of a family that Qwen says adds a stronger foundation for real-world applications such as Code Agents. The official materials also say it improves coding capabilities while maintaining strengths in mathematics and general competencies.

Family positioning

Qwen’s official description presents Qwen2.5-Coder as a code-focused series spanning multiple sizes, including 0.5B, 1.5B, 3B, 7B, 14B, and 32B variants. The 32B Instruct model is the instruction-tuned member of that lineup.