Qwen builds the Qwen 2.5 0.5B Instruct model, a chat-type AI model that excels at instruction following, generating long texts, and understanding structured data. Its transformer architecture incorporates several notable techniques, including RoPE, SwiGLU, and RMSNorm, and it supports a context window of up to 32,768 tokens.
Input
Output
Context
33K
Max Output
-
Parameters
494M
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 23, 2026
Automatically route workloads to the right model for every task, every time.