Qwen develops the Qwen 2.5 32B Instruct AWQ, a chat model exceling at instruction following, generating long texts, and understanding structured data, thanks to its specialized expert models in coding and mathematics. Its transformer architecture incorporates RoPE, SwiGLU, RMSNorm, and Attention QKV bias, and it supports a context window of up to 131,072 tokens.
Input
Output
Context
33K
Max Output
-
Parameters
32B
Input Modalities
Output Modalities
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
Automatically route workloads to the right model for every task, every time.