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www/ollama_vision_models.md

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+# Ollama Vision Models for Home Assistant
+
+Use these models for camera snapshot analysis (e.g., Motion Front Door AI automation).
+
+| Model | Size | Command | Best For |
+|-------|------|---------|----------|
+| llama3.2-vision:11b | ~7.8GB | `ollama pull llama3.2-vision:11b` | Scene/object description, general vision |
+| moondream | ~1.7GB | `ollama pull moondream` | Tiny and fast, simple descriptions |
+| gemma4:12b | ~8GB | `ollama pull gemma4:12b` | Newest, best quality, all-rounder |
+| llava:13b | ~8GB | `ollama pull llava:13b` | Older but proven, general-purpose |
+
+## How to switch models
+
+1. Pull the model: `ollama pull <model-name>`
+2. Go to **Settings → AI Tasks → Ollama AI Task** in Home Assistant
+3. Change the model to the new one
+4. Test by triggering the automation
+
+## Notes
+
+- Vision models are required for image/camera analysis - text-only models (llama3, qwen3, etc.) will fail
+- `llama3.2-vision:11b` is the recommended default (best balance of quality and speed)
+- `moondream` is a good fallback for slower hardware
+- All models run locally - no data leaves your network