SwarmDo/SwarmDo-A2-merged
SwarmDo/SwarmDo-A2-merged is a 27 billion parameter model based on Qwen/Qwen3.6-27B, developed by SwarmDo. This model uniquely combines coding capabilities with render-verified visual-coding, allowing it to fix bugs and generate code from images. It is designed for direct serving with vLLM, offering both text-based code generation and image-to-code functionality within a single model.
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SwarmDo-A2-merged Overview
SwarmDo-A2-merged is a 27 billion parameter model built upon the Qwen/Qwen3.6-27B architecture, developed by SwarmDo. This version comes with the combined coding and render-verified visual-coding adapter already merged, including the vision tower, making it ready for direct serving with vLLM without an additional merge step.
Key Capabilities
- Unified Code & Vision: Integrates both text-based code generation and visual-coding (image-to-code) capabilities into a single model.
- Execution-Verified Bug Fixing: Proven to fix real bugs with execution verification.
- Render-Verified Visual Coding: Capable of writing code from images, with its output verified through rendering.
- No Performance Degradation: Measured proof that combining these two skills does not degrade individual performance (the "churn gate").
- vLLM Ready: Optimized for direct serving with vLLM, supporting OpenAI-compatible chat endpoints for both text and image inputs.
When to Use This Model
This model is ideal for applications requiring a powerful, unified solution for:
- Automated Code Generation: Generating code based on textual prompts or problem descriptions.
- Visual-to-Code Translation: Creating code directly from visual inputs, such as UI mockups or diagrams.
- Bug Fixing & Code Refinement: Leveraging its execution-verified bug-fixing capabilities.
- Integrated Development Environments: As a backend for tools that need both code understanding and visual interpretation.