Qwen 2.5 7B
Qwen 2.5 7B is a chat-focused large language model developed by Qwen, featuring a transformer architecture with RoPE, SwiGLU, RMSNorm, and Attention QKV bias. It is particularly suited for tasks that require generating long texts, understanding structured data, and producing structured outputs, such as JSON. With a context window of 131,072 tokens, Qwen 2.5 7B has a notable capacity for handling extensive conversations and complex inputs.
Input
Output
Context
131K
Max Output
-
Parameters
7B
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Resources & Links
Estimated GPU Requirements for Qwen 2.5 7B
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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