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65.1
TFLOPS
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14
Arslan Mehmood
ArslanMehmood
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Arslan-Mehmood1
AI & ML interests
Deep learning, computer vision
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nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
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We annotated 119K medical images with two frontier VLMs (Qwen 3.5, Kimi K2.5), cross-validated at 93% agreement, and produced 110K training records, all for under $500. Fine-tuning 3 small models (2-3B params) improved all benchmarks: best model reaches +15.0% average exact match. Everything is open-sourced: datasets, adapters, and code. https://huggingface.co/blog/OpenMed/synthvision
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MiniMaxAI/MiniMax-M2
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NuExtract-1.5
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