工业CAD领域大模型，能看图写代码，支持从零件到整机的全流程设计。
IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD
- 融合6个工业级多模态数据集，统一训练参数化建模与软件操作代码生成。
- 在4个工业基准上比基础模型提升33.65个百分点，超越闭源GPT-5.4。
- 适合构建端到端工业智能代理，支持自迭代的自动化设计系统。
自动化工业CAD设计与制造对多模态基础模型提出特殊要求：模型需理解工程图纸与3D视图，生成正确的参数化建模脚本及Windows COM API代码，并覆盖从单个零件到装配体的全范围任务。通用多模态模型在此类任务上表现不足，而单一任务微调又难以支撑上层智能体的多样化指令。本文基于Qwen3.5-VL-27B，整合总计约52,000个样本的六个工业级多模态子数据集——包括CAD视觉问答（CAD-VQA）、参数化建模代码生成（text2cadquery）、装配体级代码生成（text2cadquery-assembly）以及针对Inventor/SolidWorks的三个COM子数据集（com_2d / com_3d / com_assembly），采用统一多任务SFT训练方案构建IndustryForge-27B。在四个工业领域基准测试中，该模型平均性能较基线提升33.65个百分点，全面超越闭源模型GPT-5.4；在十一个通用能力基准上保持基线水平并小幅提升1.56个百分点，无灾难性遗忘现象。IndustryForge-27B将作为下游工业智能体项目的通用基础，为涵盖从CAD设计到工业软件操作、从单件到装配体、从单次生成到闭环自优化的全栈工业智能代理提供统一起点。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。