# Local LLMs/VLMs for Physical AI engineering workflows — model suggestions wanted

> Source: <https://discuss.huggingface.co/t/local-llms-vlms-for-physical-ai-engineering-workflows-model-suggestions-wanted/178524#post_1>
> Published: 2026-08-09 14:19:00+00:00

**I am experimenting with **EdgeAI Forge**, an early-stage local-first architecture for using specialized AI agents in industrial vision, ROS 2, robotics, and edge-deployment workflows.**

**The intended split is:**

**- local models for frequent coding, planning, documentation, private-data processing, and visual reasoning;**

**- optional cloud escalation for difficult or large-context tasks; and**

**- explicit human review before any physical deployment or machine-control action.**

**The current proof of concept routes Planner, Vision, and ROS prompts to Ollama. I am looking for practical model recommendations and evaluation ideas for:**

**- local coding agents that produce structured Python/C++/ROS 2 artifacts;**

**- VLMs for industrial image inspection and pipeline selection;**

**- smaller reasoning models for planning and validation;**

**- embedding models for project memory and retrieval; and**

**- runtimes that work well across workstation GPUs and Jetson-class devices.**

**I am especially interested in measured tradeoffs—VRAM, latency, structured-output reliability, quantization, tool use, and license constraints—rather than leaderboard scores alone.**

**Project: GitHub - afridali123/EdgeAI_Forge · GitHub**

**Longer background: EdgeAI Forge: My Journey Toward a Local Agentic AI Platform for Industrial Automation**

**This is an early architecture discussion, not a finished product announcement. Suggestions for models, datasets, evaluation harnesses, or related projects are welcome.**