AI 中文总结
该研究构建基于Qwen3.5-VL-27B的IndustryForge-27B多模态基础模型，整合6个工业CAD子语料库训练，在CAD基准测试中性能远超基础模型与GPT-5.4，可作为工业智能体的通用基础。
AI 中文摘要
自动化工业CAD设计与制造对多模态基础模型提出了独特要求：模型需识别工程图纸与3D几何截图、生成正确的参数化建模脚本及Windows COM API代码，且覆盖从单个零件到装配体的全场景。通用多模态模型在这些任务上表现不足，而单任务微调范围过窄，无法支撑上层智能体发出的多样化调用。我们基于Qwen3.5-VL-27B构建IndustryForge-27B，通过整理整合6个工业CAD子语料库（共约5.2万份多模态样本，包括CAD视觉问答CAD-VQA、参数化CAD代码text2cadquery、装配级CAD代码text2cadquery-assembly，以及针对Inventor/SolidWorks的3个COM子语料库com_2d/com_3d/com_assembly），采用统一多任务SFT方案训练。在4个CAD领域基准测试中，IndustryForge-27B较基础模型平均提升33.65个百分点，且在全部4项测试中均优于强闭源模型GPT-5.4；在11项通用能力基准测试中，其保留基础模型性能并略有提升（平均提升1.56个百分点），无灾难性遗忘。IndustryForge-27B将作为下游工业智能体项目的通用基础，为全栈工业智能体提供统一起点，覆盖从CAD设计到工业软件操作、从零件到装配体、从单次生成为闭环自改进的全流程。
英文摘要
Automating industrial CAD design and manufacturing places distinctive demands on multimodal foundation models: the model must see engineering drawings and 3D geometry screenshots, write correct parametric-modelling scripts and Windows COM API code, and cover the full range from single parts to assemblies. General-purpose multimodal models fall short on these tasks, while single-task fine-tuning is too narrow to support the diverse calls that upper-layer agents issue. We build IndustryForge-27B on top of Qwen3.5-VL-27B by curating and integrating six industrial-CAD sub-corpora totalling $\sim$52k multimodal samples---CAD Visual QA (CAD-VQA), parametric CAD code (text2cadquery), assembly-level CAD code (text2cadquery-assembly), and three COM sub-corpora for Inventor / SolidWorks (com_2d / com_3d / com_assembly)---and training with a unified multi-task SFT recipe. Across four CAD-domain benchmarks IndustryForge-27B lifts the base model by $+33.65$~pp on average and outperforms the strong closed-source model GPT-5.4 on all four; across eleven general-capability benchmarks it retains, and slightly improves upon, the base model ($+1.56$~pp mean, no catastrophic forgetting). IndustryForge-27B will serve as the common substrate for downstream industrial-agent projects, providing a unified starting point for a full-stack industrial agent that spans from CAD design to industrial-software operation, from parts to assemblies, and from single-shot generation to closed-loop self-improvement.
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