PlantVLM-Edge enables quantized vision-language models for on-device crop diagnosis
4-bit quantization retains 98.6% answer quality while reducing memory by 49%, running in 0.12s for first token on edge devices.
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4-bit quantization retains 98.6% answer quality while reducing memory by 49%, running in 0.12s for first token on edge devices.
A two-token yes/no logit lookup never matches LLaVA-1.5-7B outputs, shifting adversarial F1 by 6.13 points.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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