Qwen 2.5 14B Instruct AWQ
Qwen develops the Qwen 2.5 14B Instruct AWQ, a chat model exceling at instruction following, generating long texts, and understanding structured data, thanks to its specialized expert models and instruction-tuned training. Notably, it features a transformer architecture with RoPE, SwiGLU, RMSNorm, and Attention QKV bias, and supports long-context inputs up to 32,768 tokens.
Input
Output
Context
33K
Max Output
8K
Parameters
14.8B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Resources & Links
Estimated GPU Requirements for Qwen 2.5 14B Instruct AWQ
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
More Models by Qwen
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Aug 9, 2026
Your AI stack shouldn't stand still.
Every month new models become cheaper, faster, and more capable. Inferbase ensures your application automatically benefits without changing a single API call.