North-Micro-Vision-Instruct-4bit-mlx / openmed-validation.json
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{
"cases": [
{
"coherence_detail": "coherent surface form",
"coherent": true,
"elapsed_seconds": 0.2482,
"fact_detail": "privacy/locality concepts present",
"facts_correct": true,
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"id": "text_privacy",
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"prompt": "In one concise sentence, explain how running a vision-language model entirely on-device can improve privacy for clinical documents.",
"prompt_tokens": 30,
"response": "Running a vision-language model entirely on-Device ensures that sensitive clinical data remains private and secure, as it eliminates the need for cloud-based storage and transmission."
},
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"prompt": "A synthetic note states: \"The follow-up appointment is scheduled for Tuesday at 10:30 AM.\" What day is the follow-up? Answer with only the day.",
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"response": "Tuesday"
},
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"fixture": "synthetic_clinical_document.png",
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"prompt": "This is synthetic test data. In one concise sentence, report the exact patient name, record ID, medication with dose and frequency, and allergy shown in the image.",
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"response": "The image shows synthetic test data for a patient named Alex Rivera, record ID SYN-2048, prescribed Metformin 500 mg twice daily with a penicillin allergy, and a follow-up of 14 days."
},
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"prompt": "Which category has the tallest bar, and what exact value is printed above it? Answer concisely.",
"prompt_tokens": 1053,
"response": "Screening, 42"
}
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"device_name": "Apple M3 Ultra",
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