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How to pick the car's model by its measured speed on the Pi with Car Watch

Compare each model's measured speed on the Pi, then swap the running model from your phone.

Authorization notice. Car Watch is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forAn owner who wants quick answers to simple questions and the larger model for manual questions.

The problemA large model answers slowly on a Pi, and a small model cannot answer manual questions well.

The outcomeThe running model is chosen from the Model zone, based on speeds the Pi itself measured.

What you need first

  • Raspberry Pi 5 with 16 GB RAM, as used for the measured numbers in the README
  • A microSD card with the car's owner's manual index and the local model files
  • A GroupMind room account for the car's agent, if you want room posts
  • Access to the car's own speakers and microphone for hands-free voice
  • Python 3 on the Pi, since the repo is Python with no pip dependencies

Steps

  1. Open the phone dashboard and go to the Model zone, which lists every .gguf file on the box.
  2. Compare the prompt and generation columns for each model against the reference Pi 5 16GB table.
  3. Tap the model you want; the swap waits until any answer being generated has finished.
  4. Call GET /api/models through the auth gate to confirm which model is now running. (inferred, check the README)

Prompt for your agent

Using the CarWatch repo at https://github.com/ThinkOffApp/CarWatch on <pi-host>, call GET /api/models and list each model with its size and measured generation speed, then name the running model. Verify that each reported size matches the size of its .gguf file on disk.

Caveat. The speeds come from one Pi 5 16GB, so another device will give different numbers and the table changes as models are benched.

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