Qwen develops the Qwen 2.5 Coder 7B Instruct AWQ, a chat model exceling at code generation, code reasoning, and code fixing tasks. Its transformer architecture incorporates RoPE, SwiGLU, RMSNorm, and Attention QKV bias, and it has a context window of up to 131,072 tokens, allowing for long-context support.
Input
Output
Context
33K
Max Output
-
Parameters
7.6B
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
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