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ResearchFormerly WizWand

Fundus Reading on Omni-Fundus

97.7AccuracyLingshu-7B
53.91665.28376.6588.017Apr 9, 2026
Updated 7mo ago

Evaluation results

MethodLinks
Lingshu-7BVision Encoder=Qwen2.5-ViT, LLM=Qwen2.5-7B, Post-training Data Scale=5.1M, Protocol=Medical MLLMs (SFT)2026.0497.7
Fundus-R1-7BVision Encoder=Qwen2.5-ViT, LLM=Qwen2.5-7B, Post-training Data Scale=80.1K, Protocol=Fundus-reading MLLMs (RLVR)2026.0491.1
Fundus-R1-3BVision Encoder=Qwen2.5-ViT, LLM=Qwen2.5-3B, Post-training Data Scale=80.1K, Protocol=Fundus-reading MLLMs (RLVR)2026.0479.8
Med-R1-fundusVision Encoder=Qwen2.5-ViT, LLM=Qwen2.5-3B, Post-training Data Scale=undisclosed, Protocol=Fundus-reading MLLMs (RLVR)2026.0479.2
FundusExpert-8BVision Encoder=InternViT-300M, LLM=InternLM2.5-7B, Post-training Data Scale=200K, Protocol=Fundus-reading MLLMs (SFT)2026.0478.4
HuatuoGPT-Vision-7BVision Encoder=OpenAI CLIP ViT-L/14, LLM=Qwen2-7B, Post-training Data Scale=1.3M, Protocol=Medical MLLMs (SFT)2026.0469.6
Qwen2.5-VL-7BVision Encoder=Qwen2.5-ViT, LLM=Qwen2.5-7B, Post-training Data Scale=–, Protocol=Generic MLLMs2026.0468.1
Qwen2.5-VL-3BVision Encoder=Qwen2.5-ViT, LLM=Qwen2.5-3B, Post-training Data Scale=–, Protocol=Generic MLLMs2026.0466.4
HealthGPT-M3-7BVision Encoder=CLIP ViT-L/14-336, LLM=Phi-3-mini, Post-training Data Scale=1.6M, Protocol=Medical MLLMs (SFT)2026.0464
OphthaReason-QwenVision Encoder=Qwen2.5-ViT, LLM=Qwen2.5-3B, Post-training Data Scale=121.5K, Protocol=Fundus-reading MLLMs (RLVR)2026.0462.4
QoQ-Med-7BVision Encoder=Qwen2.5-ViT, LLM=Qwen2.5-7B, Post-training Data Scale=2.6M, Protocol=Medical MLLMs (RLVR)2026.0457.9
OphthaReason-InternVision Encoder=InternViT-300M, LLM=Qwen2.5-1.5B, Post-training Data Scale=121.5K, Protocol=Fundus-reading MLLMs (RLVR)2026.0457.7
MedVLM-R1Vision Encoder=Qwen2-ViT, LLM=Qwen2-2B, Post-training Data Scale=600, Protocol=Medical MLLMs (RLVR)2026.0456.3
InternVL2.5-8BVision Encoder=InternViT-300M, LLM=InternLM2.5-7B, Post-training Data Scale=–, Protocol=Generic MLLMs2026.0455.6