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Update genai docs

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Nicolas Mowen 2025-11-19 17:05:29 -07:00
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docs/docs/configuration/genai.md
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@ -70,7 +70,7 @@ You should have at least 8 GB of RAM available (or VRAM if running on GPU) to ru
genai: genai:
provider: ollama provider: ollama
base_url: http://localhost:11434 base_url: http://localhost:11434
model: llava:7b model: qwen3-vl:4b
``` ```
## Google Gemini ## Google Gemini

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docs/docs/configuration/genai/config.md
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@ -35,19 +35,18 @@ Each model is available in multiple parameter sizes (3b, 4b, 8b, etc.). Larger s
:::tip :::tip
If you are trying to use a single model for Frigate and HomeAssistant, it will need to support vision and tools calling. https://github.com/skye-harris/ollama-modelfiles contains optimized model configs for this task. If you are trying to use a single model for Frigate and HomeAssistant, it will need to support vision and tools calling. qwen3-VL supports vision and tools simultaneously in Ollama.
::: :::
The following models are recommended: The following models are recommended:
| Model | Notes | | Model | Notes |
| ----------------- | ----------------------------------------------------------- | | ----------------- | -------------------------------------------------------------------- |
| `qwen3-vl` | Strong visual and situational understanding | | `qwen3-vl` | Strong visual and situational understanding, higher vram requirement |
| `Intern3.5VL` | Relatively fast with good vision comprehension | | `Intern3.5VL` | Relatively fast with good vision comprehension |
| `gemma3` | Strong frame-to-frame understanding, slower inference times | | `gemma3` | Strong frame-to-frame understanding, slower inference times |
| `qwen2.5-vl` | Fast but capable model with good vision comprehension | | `qwen2.5-vl` | Fast but capable model with good vision comprehension |
| `llava-phi3` | Lightweight and fast model with vision comprehension |
:::note :::note