Qwen Qwen2 5 Coder 7B Instruct, developed by Alibaba Qwen, features 7B parameters and 128-token context window. Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimised for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE, SwiGLU, RMSNorm, and GQA attention with support for up to 128K tokens using YaRN-based extrapolation. It is trained on a large corpus of source code, synthetic data, and text-code grounding, providing robust performance across programming languages and agentic coding workflows. This model is part of the Qwen2.5-Coder family and offers strong compatibility with tools like vLLM for efficient deployment. Released under the Apache 2.0 license. Priced affordably at $0.03/1M tokens.
Visit Qwen: Qwen2.5 Coder 7B InstructAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Qwen Model Timeline
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Specifications
AI Evaluation
Optimized for programming tasks, this model excels at code generation, debugging, and software engineering workflows with solid benchmark performance.
Pros
- Budget-friendly at $0.03/1M tokens
- 128 token context window
- Lightweight and efficient
- Strong code generation and debugging
Cons
- Limited depth on complex topics
- May lack creative flair
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