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@@ -130,18 +130,15 @@ The `notes` array in each aspect section contains warnings such as:
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  ## Setup
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- Space Settings β†’ **Repository Secrets** β†’ add `HF_TOKEN`
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- (free Read token from [huggingface.co/settings/tokens](https://huggingface.co/settings/tokens))
 
 
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  ---
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- ## Models (free tier, tried in order)
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- 1. `google/gemma-4-27b-it` β€” primary (best quality)
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- 2. `meta-llama/Llama-4-Scout-17B-16E-Instruct` β€” Llama 4 Scout vision
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- 3. `Qwen/Qwen2.5-VL-7B-Instruct` β€” dedicated vision model
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- 4. `Qwen/Qwen2-VL-7B-Instruct` β€” previous Qwen VL, very stable
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- 5. `meta-llama/Llama-3.2-11B-Vision-Instruct` β€” reliable fallback
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- 6. `microsoft/Phi-3.5-vision-instruct` β€” lightweight fallback
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- 7. `HuggingFaceM4/idefics3-8b-llama3` β€” HF native, always available
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- 8. `mistralai/Pixtral-12B-2409` β€” Mistral vision model
 
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  ## Setup
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+ Space Settings β†’ **Repository Secrets** β†’ add `GEMINI_API_KEY`
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+
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+ Get a **free** Gemini API key at [aistudio.google.com/apikey](https://aistudio.google.com/apikey)
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+ No credit card required β€” free tier includes **1,500 requests/day**.
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  ---
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+ ## Models (Google Gemini, free tier)
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+ 1. `gemini-2.0-flash` β€” primary (best quality + speed, free)
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+ 2. `gemini-1.5-flash` β€” fallback 1 (previous gen, very stable)
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+ 3. `gemini-1.5-flash-8b` β€” fallback 2 (lightest, always available)