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\n \n Hello
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\nCovers open-ended, closed-ended, and EHR tasks for holistic evaluation.
\nEvaluates diagnostic reasoning, safety, and interpretability.
\nAccess papers, datasets, code, and docs for reproducible evaluation.
\nHello
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| đĨ 1 | deepseek-ai/DeepSeek-V3 | \n \n 87.82\n \n \n \n \n | \n \n 64.31\n \n \n \n \n | \n \n 95.78\n \n \n \n \n | \n \n 99.61\n \n \n \n \n | \n \n 72.32\n \n \n \n \n |
| đĨ 2 | openai/gpt-4.1-mini | \n \n 87.55\n \n \n \n \n | \n \n 61.64\n \n \n \n \n | \n \n 95.93\n \n \n \n \n | \n \n 99.31\n \n \n \n \n | \n \n 74.38\n \n \n \n \n |
| đĨ 3 | Qwen/Qwen2-72B-Instruct | \n \n 87.51\n \n \n \n \n | \n \n 61.51\n \n \n \n \n | \n \n 95.99\n \n \n \n \n | \n \n 99.47\n \n \n \n \n | \n \n 73.72\n \n \n \n \n |
| #4 | microsoft/phi-4 | \n \n 87.44\n \n \n \n \n | \n \n 67.28\n \n \n \n \n | \n \n 95.90\n \n \n \n \n | \n \n 99.52\n \n \n \n \n | \n \n 66.52\n \n \n \n \n |
| #5 | Qwen/Qwen2.5-72B-Instruct | \n \n 87.41\n \n \n \n \n | \n \n 63.09\n \n \n \n \n | \n \n 95.89\n \n \n \n \n | \n \n 99.56\n \n \n \n \n | \n \n 70.91\n \n \n \n \n |
| #6 | chengang12345/Qwen2.5-32B-Instruct-FineTune | \n \n 87.36\n \n \n \n \n | \n \n 61.36\n \n \n \n \n | \n \n 95.78\n \n \n \n \n | \n \n 98.82\n \n \n \n \n | \n \n 74.94\n \n \n \n \n |
| #7 | openai/o4-mini | \n \n 87.17\n \n \n \n \n | \n \n 79.89\n \n \n \n \n | \n \n 94.90\n \n \n \n \n | \n \n 95.27\n \n \n \n \n | \n \n 64.43\n \n \n \n \n |
| #8 | mistralai/Mistral-Large-Instruct-2407 | \n \n 87.09\n \n \n \n \n | \n \n 61.74\n \n \n \n \n | \n \n 97.16\n \n \n \n \n | \n \n 99.20\n \n \n \n \n | \n \n 68.42\n \n \n \n \n |
| #9 | Qwen/Qwen3-32B | \n \n 86.95\n \n \n \n \n | \n \n 63.64\n \n \n \n \n | \n \n 95.53\n \n \n \n \n | \n \n 98.59\n \n \n \n \n | \n \n 70.15\n \n \n \n \n |
| #10 | Qwen/Qwen3-235B-A22B | \n \n 86.78\n \n \n \n \n | \n \n 68.97\n \n \n \n \n | \n \n 95.21\n \n \n \n \n | \n \n 97.84\n \n \n \n \n | \n \n 65.67\n \n \n \n \n |
Hello
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Use the following format for the clinical note:\n\n1. **CHIEF COMPLAINT**: [Brief description of the main reason for the visit]\n2. **HISTORY OF PRESENT ILLNESS**: [Summary of the patient's current health status and any changes since the last visit]\n3. **REVIEW OF SYSTEMS**: [List of symptoms reported by the patient]\n4. **PHYSICAL EXAMINATION**: [Findings from the physical examination]\n5. **RESULTS**: [Relevant test results]\n6. **ASSESSMENT AND PLAN**: [Doctor's assessment and plan for treatment or further testing]\n\n**Conversation:**\n[doctor] hi , andrew . how are you ?\n[patient] hey , good to see you .\n[doctor] i'm doing well , i'm doing well .\n[patient] good .\n[doctor] so , i know the nurse told you about dax . i'd like to tell dax a little bit about you .\n[patient] sure .\n[doctor] uh , so , andrew is a 59-year-old male with a past medical history , significant for depression , type two diabetes , and hypertension who presents today with an upper respiratory infection . so , andrew , what's going on ?\n[patient] yeah . we were doing a bit of work out in the yard in the last week or so and i started to feel really tired , was short of breath . um , we- we're not wearing masks as much at the end of the summer and i think i caught my first cold and i think it just got worse .\n[doctor] okay . all right . um , now , have you had your covid vaccines ?\n[patient] yeah , both .\n[doctor] okay . all right . and , um , do you have any history of any seasonal allergies at all ?\n[patient] none whatsoever .\n[doctor] okay . all right . and when you say you're having some shortness of breath , did you feel short of breath walking around or at rest ?\n[patient] uh , usually , it was lifting or carrying something . we were doing some landscaping , so i was carrying some heavy bags of soil and i , i got really winded . it really surprised me .\n[doctor] okay . and are you coughing up anything ?\n[patient] not yet , but i feel like that's next .\n[doctor] okay . and fevers ?\n[patient] uh , i felt a little warm , but i , i just thought it was because i was exerting myself .\n[doctor] okay . all right . and any other symptoms like muscle aches , joint pain , fatigue ?\n[patient] my elbows hurt quite a bit and my knees were pretty tired . l- like i said , i really felt some tension around my knees , but , uh , i think that was a lot to do with , uh , lifting the bags .\n[doctor] okay . all right . um , so , you know , how about , how are you doing in terms of your other medical problems , like your depression ? how are you doing with that ? i know we've , you know , talked about not putting you on medication for it because you're on medication for other things . what's going on ?\n[patient] i- it's been kind of a crazy year and a half . i was a little concerned about that but , for the most part , i've been , been doing well with it . my , my wife got me into barre classes , to help me relax and i think it's working .\n[doctor] okay . all right , great . and , and in terms of your diabetes , how are you doing watching your , your diet and your sugar intake ?\n[patient] uh , i've been monitoring my sugar levels while i am going to work during the week . uh , not so , uh , if its saturday or sunday i usually don't remember . uh , the diet's been pretty good for the most part , except for , you know , some house parties and things like that . but , uh , been good for the most part .\n[doctor] okay and have they been elevated at all since this episode of your-\n[patient] no .\n[doctor] okay . and then , how , lastly , for your high blood pressure , have you been monitoring your blood pressures at home ? did you buy the cuff like i suggested ?\n[patient] uh , same thing . during the while i'm going to work, i'm regular about monitoring it, but if its a saturday or sunday, not so much . but , uh , it's , it's been under control .\n[doctor] but you're taking your medication ?\n[patient] yes .\n[doctor] okay . all right . well , you know , i know that , you know , you've endorsed , you know , the shortness of breath and some joint pain . um , how about any other symptoms ? nausea or vomiting ? diarrhea ?\n[patient] no .\n[doctor] anything like that ?\n[patient] no .\n[doctor] okay . all right . well , i wan na go ahead and do a quick physical exam , all right ? hey , dragon , show me the vital signs . so , your vital signs here in the office look quite good .\n[patient] mm-hmm .\n[doctor] you know , everything's looking normal , you do n't have a fever , which is really good . um , i'm just gon na go ahead and listen to your heart and your lungs and , kind of , i'll let you know what i hear , okay ?\n[patient] sure .\n[doctor] okay . so , on your physical exam , you know , your heart sounds nice and strong . your lungs , you do have scattered ronchi bilaterally on your lung exam . uh , it clears with cough . um , i do notice a little bit of , um , some edema of your lower extremities and you do have some pain to palpation of your elbows bilaterally . um , so , let's go ahead , i want to look at some of your results , okay ?\n[patient] mm-hmm .\n[doctor] hey , dragon . show me the chest x-ray .\n[doctor] so , i reviewed the results of your chest x-ray and everything looks good . there's no airspace disease , there's no pneumonia , so that's all very , very good , okay ?\n[patient] good .\n[doctor] hey , dragon . show me the diabetic labs .\n[doctor] and here , looking at your diabetic labs , you know , your hemoglobin a1c is a little elevated at eight .\n[patient] mm-hmm .\n[doctor] i'd like to see that a little bit better , around six or seven , if possible .\n[patient] mm-hmm .\n[doctor] um , so let's talk a little bit about my assessment and my plan for you .\n[patient] mm-hmm .\n[doctor] so , for your first problem , this upper respiratory infection , i believe you , you have a viral syndrome , okay ? we'll go ahead and we'll send a covid test , just to make sure that you do n't have covid .\n[patient] mm-hmm .\n[doctor] uh , but overall , i think that , um , you know , this will resolve in a couple of days . i do n't think you have covid , you do n't have any exposures , that type of thing .\n[patient] mm-hmm .\n[doctor] so , i think that this will improve . i'll give you some robitussin for your cough and i would encourage you take some ibuprofen , tylenol for any fever , okay ?\n[patient] you got it .\n[doctor] for your next problem , your depression , you know , it sounds like you're doing well with that , but again , i'm happy to start on a med- , a medical regiment or ...\n[patient] mm-hmm .\n[doctor] . refer you to psychotherapy , if you think that that would be helpful .\n[patient] mm-hmm .\n[doctor] would you like that ?\n[patient] u- u- um , maybe not necessarily . maybe in a , uh , few months we'll check on that .\n[doctor] okay . all right .\n[doctor] for your third problem , your type two diabetes , i want to go ahead and increase your metformin to 1000 milligrams , twice daily .\n[patient] mm-hmm .\n[doctor] and i'm gon na get an- another hemoglobin a1c in four months , okay ?\n[patient] okay , sure .\n[doctor] hey , dragon . order a hemoglobin a1c .\n[doctor] and lastly , for your high blood pressure , it looks like you're doing a really good job managing that . i want to go ahead and continue you on the , um , lisinopril , 20 milligrams a day .\n[patient] mm-hmm .\n[doctor] and i'm gon na go ahead and order a lipid panel , okay ?\n[patient] sure .\n[doctor] do you need a refill of the lisinopril ?\n[patient] actually , i do .\n[doctor] okay . hey , dragon . order lisinopril , 20 milligrams daily .\n[doctor] so , the nurse will be in , she'll help you , uh , make a follow-up appointment with me . i want to see you again in about four months .\n[patient] okay .\n[doctor] let me know if your symptoms worsen and we can talk more about it , okay ?\n[patient] you got it .\n[doctor] all right . hey , dragon . finalize the note .","type":"text","lines":15,"label":"User Prompt","show_label":true,"container":true,"min_width":160,"visible":true,"elem_id":"user-prompt-textbox-medical_summarization-response_generation","autofocus":false,"autoscroll":true,"elem_classes":[],"rtl":false,"show_copy_button":true,"submit_btn":false,"stop_btn":false,"name":"textbox","_selectable":false},"skip_api":false,"component_class_id":"ad9c3f714247746291346c2a8132a8d15ab68326a3bb22df88fcb9718ea34ecf","key":null,"api_info":{"type":"string"},"api_info_as_input":{"type":"string"},"api_info_as_output":{"type":"string"},"example_inputs":"Hello!!"},{"id":31,"type":"form","props":{"scale":0,"min_width":0,"name":"form"},"skip_api":true,"component_class_id":"7c96e70477dd55732fb1a4bc6696ddcc8ff96faeabe823f8c3311f0d1f92d0eb","key":null},{"id":32,"type":"accordion","props":{"label":"Question generation","open":false,"visible":true,"name":"accordion"},"skip_api":true,"component_class_id":"68fbff65480149a50fe591fef1948bbaed634b810b18b905b01f834add9fefe5","key":null},{"id":33,"type":"textbox","props":{"value":"You are a helpful clinical assistant.","type":"text","lines":2,"label":"System Prompt","show_label":true,"container":true,"min_width":160,"visible":true,"elem_id":"system-prompt-textbox-ce-question_generation","autofocus":false,"autoscroll":true,"elem_classes":[],"rtl":false,"show_copy_button":true,"submit_btn":false,"stop_btn":false,"name":"textbox","_selectable":false},"skip_api":false,"component_class_id":"ad9c3f714247746291346c2a8132a8d15ab68326a3bb22df88fcb9718ea34ecf","key":null,"api_info":{"type":"string"},"api_info_as_input":{"type":"string"},"api_info_as_output":{"type":"string"},"example_inputs":"Hello!!"},{"id":34,"type":"textbox","props":{"value":"As a clinical assistant, please formulate {{num_questions}} critical, concise and closed-ended questions (in a YES/NO format) that thoroughly scrutinize the content of the document. 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|---|---|---|---|---|---|---|---|---|---|
| đĨ 1 | Qwen/Qwen3.8-27B | \n \n 75.27\n \n \n \n \n | \n \n 76.32\n \n \n \n \n | \n \n 61.25\n \n \n \n \n | \n \n 92.92\n \n \n \n \n | \n \n 68.75\n \n \n \n \n | \n \n 68.33\n \n \n \n \n | \n \n 85.00\n \n \n \n \n | \n \n 52.50\n \n \n \n \n |
| đĨ 2 | Qwen/Qwen3.6-27B | \n \n 64.95\n \n \n \n \n | \n \n 72.48\n \n \n \n \n | \n \n 43.75\n \n \n \n \n | \n \n 97.50\n \n \n \n \n | \n \n 32.50\n \n \n \n \n | \n \n 51.67\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 60.00\n \n \n \n \n |
| đĨ 3 | Qwen/Qwen3.6-35B-A3B | \n \n 64.18\n \n \n \n \n | \n \n 71.87\n \n \n \n \n | \n \n 43.33\n \n \n \n \n | \n \n 96.25\n \n \n \n \n | \n \n 27.50\n \n \n \n \n | \n \n 55.00\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 60.00\n \n \n \n \n |
| #4 | thinkingmachines/Inkling-Small-NVFP4 | \n \n 62.37\n \n \n \n \n | \n \n 70.64\n \n \n \n \n | \n \n 37.50\n \n \n \n \n | \n \n 93.75\n \n \n \n \n | \n \n 37.50\n \n \n \n \n | \n \n 53.33\n \n \n \n \n | \n \n 36.67\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #5 | thinkingmachines/Inkling-NVFP4 | \n \n 61.03\n \n \n \n \n | \n \n 64.83\n \n \n \n \n | \n \n 40.83\n \n \n \n \n | \n \n 92.08\n \n \n \n \n | \n \n 35.00\n \n \n \n \n | \n \n 56.67\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #6 | Qwen/Qwen3.5-397B-A17B | \n \n 60.84\n \n \n \n \n | \n \n 70.03\n \n \n \n \n | \n \n 40.00\n \n \n \n \n | \n \n 88.75\n \n \n \n \n | \n \n 28.75\n \n \n \n \n | \n \n 50.00\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #7 | moonshotai/Kimi-K2.6 | \n \n 60.55\n \n \n \n \n | \n \n 68.81\n \n \n \n \n | \n \n 39.17\n \n \n \n \n | \n \n 88.33\n \n \n \n \n | \n \n 32.50\n \n \n \n \n | \n \n 51.67\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #8 | moonshotai/Kimi-K2-Thinking | \n \n 58.17\n \n \n \n \n | \n \n 64.83\n \n \n \n \n | \n \n 37.92\n \n \n \n \n | \n \n 91.25\n \n \n \n \n | \n \n 30.00\n \n \n \n \n | \n \n 28.33\n \n \n \n \n | \n \n 40.00\n \n \n \n \n | \n \n 55.00\n \n \n \n \n |
| #9 | Qwen/Qwen3.5-35B-A3B | \n \n 57.78\n \n \n \n \n | \n \n 57.49\n \n \n \n \n | \n \n 42.08\n \n \n \n \n | \n \n 89.17\n \n \n \n \n | \n \n 33.75\n \n \n \n \n | \n \n 48.33\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #10 | zai-org/glm-5.3 | \n \n 55.49\n \n \n \n \n | \n \n 59.94\n \n \n \n \n | \n \n 36.25\n \n \n \n \n | \n \n 88.75\n \n \n \n \n | \n \n 28.75\n \n \n \n \n | \n \n 30.00\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 52.50\n \n \n \n \n |
Hello
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| đĨ 1 | Qwen/Qwen3.8-27B | \n \n 79.45\n \n \n \n \n | \n \n 85.79\n \n \n \n \n | \n \n 61.25\n \n \n \n \n | \n \n 92.08\n \n \n \n \n | \n \n 68.75\n \n \n \n \n | \n \n 71.67\n \n \n \n \n | \n \n 98.33\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| đĨ 2 | thinkingmachines/Inkling-NVFP4 | \n \n 69.82\n \n \n \n \n | \n \n 78.90\n \n \n \n \n | \n \n 43.75\n \n \n \n \n | \n \n 97.50\n \n \n \n \n | \n \n 41.25\n \n \n \n \n | \n \n 58.33\n \n \n \n \n | \n \n 71.67\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| đĨ 3 | Qwen/Qwen3.6-27B | \n \n 69.15\n \n \n \n \n | \n \n 77.98\n \n \n \n \n | \n \n 45.83\n \n \n \n \n | \n \n 94.17\n \n \n \n \n | \n \n 38.75\n \n \n \n \n | \n \n 61.67\n \n \n \n \n | \n \n 70.00\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #4 | thinkingmachines/Inkling-Small-NVFP4 | \n \n 68.96\n \n \n \n \n | \n \n 78.29\n \n \n \n \n | \n \n 43.33\n \n \n \n \n | \n \n 97.50\n \n \n \n \n | \n \n 38.75\n \n \n \n \n | \n \n 51.67\n \n \n \n \n | \n \n 66.67\n \n \n \n \n | \n \n 65.00\n \n \n \n \n |
| #5 | moonshotai/Kimi-K2.6 | \n \n 68.77\n \n \n \n \n | \n \n 78.59\n \n \n \n \n | \n \n 41.67\n \n \n \n \n | \n \n 96.25\n \n \n \n \n | \n \n 37.50\n \n \n \n \n | \n \n 58.33\n \n \n \n \n | \n \n 73.33\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #6 | Qwen/Qwen3.5-397B-A17B | \n \n 68.48\n \n \n \n \n | \n \n 77.37\n \n \n \n \n | \n \n 42.92\n \n \n \n \n | \n \n 95.83\n \n \n \n \n | \n \n 38.75\n \n \n \n \n | \n \n 58.33\n \n \n \n \n | \n \n 71.67\n \n \n \n \n | \n \n 55.00\n \n \n \n \n |
| #7 | moonshotai/Kimi-K2-Thinking | \n \n 68.10\n \n \n \n \n | \n \n 77.37\n \n \n \n \n | \n \n 42.92\n \n \n \n \n | \n \n 94.17\n \n \n \n \n | \n \n 40.00\n \n \n \n \n | \n \n 53.33\n \n \n \n \n | \n \n 71.67\n \n \n \n \n | \n \n 60.00\n \n \n \n \n |
| #8 | Qwen/Qwen3.6-35B-A3B | \n \n 67.14\n \n \n \n \n | \n \n 77.06\n \n \n \n \n | \n \n 41.67\n \n \n \n \n | \n \n 97.08\n \n \n \n \n | \n \n 33.75\n \n \n \n \n | \n \n 56.67\n \n \n \n \n | \n \n 56.67\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #9 | Qwen/Qwen3.5-35B-A3B | \n \n 66.76\n \n \n \n \n | \n \n 76.45\n \n \n \n \n | \n \n 43.75\n \n \n \n \n | \n \n 92.50\n \n \n \n \n | \n \n 31.25\n \n \n \n \n | \n \n 58.33\n \n \n \n \n | \n \n 68.33\n \n \n \n \n | \n \n 52.50\n \n \n \n \n |
| #10 | deepseek-ai/DeepSeek-V4-Pro | \n \n 66.09\n \n \n \n \n | \n \n 74.31\n \n \n \n \n | \n \n 42.50\n \n \n \n \n | \n \n 95.00\n \n \n \n \n | \n \n 37.50\n \n \n \n \n | \n \n 48.33\n \n \n \n \n | \n \n 61.67\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
Hello
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| đĨ 2 | Qwen/Qwen3.6-27B | \n \n 65.71\n \n \n \n \n | \n \n 71.56\n \n \n \n \n | \n \n 45.83\n \n \n \n \n | \n \n 97.50\n \n \n \n \n | \n \n 35.00\n \n \n \n \n | \n \n 60.00\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| đĨ 3 | Qwen/Qwen3.6-35B-A3B | \n \n 63.80\n \n \n \n \n | \n \n 69.72\n \n \n \n \n | \n \n 43.33\n \n \n \n \n | \n \n 96.25\n \n \n \n \n | \n \n 32.50\n \n \n \n \n | \n \n 56.67\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 55.00\n \n \n \n \n |
| #4 | moonshotai/Kimi-K2.6 | \n \n 61.70\n \n \n \n \n | \n \n 67.58\n \n \n \n \n | \n \n 40.83\n \n \n \n \n | \n \n 92.50\n \n \n \n \n | \n \n 33.75\n \n \n \n \n | \n \n 51.67\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 60.00\n \n \n \n \n |
| #5 | thinkingmachines/Inkling-Small-NVFP4 | \n \n 60.94\n \n \n \n \n | \n \n 66.97\n \n \n \n \n | \n \n 37.92\n \n \n \n \n | \n \n 93.33\n \n \n \n \n | \n \n 36.25\n \n \n \n \n | \n \n 45.00\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 62.50\n \n \n \n \n |
| #6 | Qwen/Qwen3.5-397B-A17B | \n \n 60.55\n \n \n \n \n | \n \n 64.53\n \n \n \n \n | \n \n 40.42\n \n \n \n \n | \n \n 92.08\n \n \n \n \n | \n \n 35.00\n \n \n \n \n | \n \n 53.33\n \n \n \n \n | \n \n 35.00\n \n \n \n \n | \n \n 60.00\n \n \n \n \n |
| #7 | thinkingmachines/Inkling-NVFP4 | \n \n 59.31\n \n \n \n \n | \n \n 62.08\n \n \n \n \n | \n \n 38.75\n \n \n \n \n | \n \n 91.25\n \n \n \n \n | \n \n 33.75\n \n \n \n \n | \n \n 53.33\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 60.00\n \n \n \n \n |
| #8 | Qwen/Qwen3.5-35B-A3B | \n \n 58.93\n \n \n \n \n | \n \n 61.47\n \n \n \n \n | \n \n 40.42\n \n \n \n \n | \n \n 92.08\n \n \n \n \n | \n \n 28.75\n \n \n \n \n | \n \n 50.00\n \n \n \n \n | \n \n 38.33\n \n \n \n \n | \n \n 55.00\n \n \n \n \n |
| #9 | deepseek-ai/DeepSeek-V4-Pro | \n \n 58.45\n \n \n \n \n | \n \n 62.69\n \n \n \n \n | \n \n 35.00\n \n \n \n \n | \n \n 93.75\n \n \n \n \n | \n \n 27.50\n \n \n \n \n | \n \n 53.33\n \n \n \n \n | \n \n 35.00\n \n \n \n \n | \n \n 57.50\n \n \n \n \n |
| #10 | moonshotai/Kimi-K2-Thinking | \n \n 56.83\n \n \n \n \n | \n \n 64.22\n \n \n \n \n | \n \n 37.50\n \n \n \n \n | \n \n 88.75\n \n \n \n \n | \n \n 32.50\n \n \n \n \n | \n \n 23.33\n \n \n \n \n | \n \n 36.67\n \n \n \n \n | \n \n 50.00\n \n \n \n \n |
Hello
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| đĨ 2 | thinkingmachines/Inkling-Small-NVFP4 | \n \n 56.04\n \n \n \n \n | \n \n 60.09\n \n \n \n \n | \n \n 0.00\n \n \n \n \n | \n \n 39.91\n \n \n \n \n |
| đĨ 3 | Qwen/Qwen3.5-397B-A17B | \n \n 55.87\n \n \n \n \n | \n \n 75.11\n \n \n \n \n | \n \n 2.58\n \n \n \n \n | \n \n 22.32\n \n \n \n \n |
| #4 | openai/gpt-oss-20b | \n \n 54.16\n \n \n \n \n | \n \n 66.52\n \n \n \n \n | \n \n 1.72\n \n \n \n \n | \n \n 31.76\n \n \n \n \n |
| #5 | Qwen/Qwen3.5-35B-A3B | \n \n 51.58\n \n \n \n \n | \n \n 77.68\n \n \n \n \n | \n \n 11.16\n \n \n \n \n | \n \n 11.16\n \n \n \n \n |
| #6 | moonshotai/Kimi-K2-Instruct | \n \n 47.99\n \n \n \n \n | \n \n 57.08\n \n \n \n \n | \n \n 0.00\n \n \n \n \n | \n \n 42.92\n \n \n \n \n |
| #7 | Qwen/Qwen3.8-27B | \n \n 47.73\n \n \n \n \n | \n \n 63.95\n \n \n \n \n | \n \n 0.00\n \n \n \n \n | \n \n 36.05\n \n \n \n \n |
| #8 | Qwen/Qwen3-14B | \n \n 45.67\n \n \n \n \n | \n \n 63.95\n \n \n \n \n | \n \n 4.29\n \n \n \n \n | \n \n 31.76\n \n \n \n \n |
| #9 | Qwen/Qwen3-32B | \n \n 44.13\n \n \n \n \n | \n \n 57.08\n \n \n \n \n | \n \n 0.43\n \n \n \n \n | \n \n 42.49\n \n \n \n \n |
| #10 | Qwen/Qwen3-8B | \n \n 41.47\n \n \n \n \n | \n \n 64.81\n \n \n \n \n | \n \n 17.17\n \n \n \n \n | \n \n 18.03\n \n \n \n \n |
Hello
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| đĨ 3 | openai/gpt-oss-120b | \n \n 60.58\n \n \n \n \n | \n \n 61.80\n \n \n \n \n | \n \n 0.43\n \n \n \n \n | \n \n 37.77\n \n \n \n \n |
| #4 | Qwen/Qwen3.8-27B | \n \n 59.55\n \n \n \n \n | \n \n 65.24\n \n \n \n \n | \n \n 0.00\n \n \n \n \n | \n \n 34.76\n \n \n \n \n |
| #5 | openai/gpt-oss-20b | \n \n 57.58\n \n \n \n \n | \n \n 64.81\n \n \n \n \n | \n \n 1.72\n \n \n \n \n | \n \n 33.48\n \n \n \n \n |
| #6 | moonshotai/Kimi-K2-Instruct | \n \n 57.33\n \n \n \n \n | \n \n 50.64\n \n \n \n \n | \n \n 0.00\n \n \n \n \n | \n \n 49.36\n \n \n \n \n |
| #7 | Qwen/Qwen3-14B | \n \n 54.24\n \n \n \n \n | \n \n 68.24\n \n \n \n \n | \n \n 5.15\n \n \n \n \n | \n \n 26.61\n \n \n \n \n |
| #8 | Qwen/Qwen3-8B | \n \n 49.10\n \n \n \n \n | \n \n 58.80\n \n \n \n \n | \n \n 11.59\n \n \n \n \n | \n \n 29.61\n \n \n \n \n |
| #9 | Qwen/Qwen3-32B | \n \n 38.13\n \n \n \n \n | \n \n 62.23\n \n \n \n \n | \n \n 0.00\n \n \n \n \n | \n \n 37.77\n \n \n \n \n |
Hello
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| #4 | moonshotai/Kimi-K2-Instruct | \n \n 58.12\n \n \n \n \n | \n \n 45.06\n \n \n \n \n | \n \n 0.50\n \n \n \n \n |
| #5 | openai/gpt-oss-20b | \n \n 53.77\n \n \n \n \n | \n \n 37.35\n \n \n \n \n | \n \n 12.56\n \n \n \n \n |
| #6 | Qwen/Qwen3-14B | \n \n 43.22\n \n \n \n \n | \n \n 28.48\n \n \n \n \n | \n \n 23.12\n \n \n \n \n |
| #7 | Qwen/Qwen3.8-27B | \n \n 37.19\n \n \n \n \n | \n \n 33.50\n \n \n \n \n | \n \n 48.58\n \n \n \n \n |
| #8 | Qwen/Qwen3-8B | \n \n 36.52\n \n \n \n \n | \n \n 13.74\n \n \n \n \n | \n \n 32.33\n \n \n \n \n |
| #9 | thinkingmachines/Inkling-Small-NVFP4 | \n \n 34.84\n \n \n \n \n | \n \n 32.83\n \n \n \n \n | \n \n 51.76\n \n \n \n \n |
| #10 | Qwen/Qwen3-32B | \n \n 32.16\n \n \n \n \n | \n \n 21.94\n \n \n \n \n | \n \n 39.36\n \n \n \n \n |
Hello
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| đĨ 2 | moonshotai/Kimi-K2-Instruct | \n \n 59.97\n \n \n \n \n | \n \n 47.57\n \n \n \n \n | \n \n 4.36\n \n \n \n \n |
| đĨ 3 | openai/gpt-oss-120b | \n \n 59.46\n \n \n \n \n | \n \n 48.07\n \n \n \n \n | \n \n 2.35\n \n \n \n \n |
| #4 | Qwen/Qwen3-14B | \n \n 53.60\n \n \n \n \n | \n \n 42.88\n \n \n \n \n | \n \n 10.89\n \n \n \n \n |
| #5 | openai/gpt-oss-20b | \n \n 52.93\n \n \n \n \n | \n \n 32.16\n \n \n \n \n | \n \n 10.39\n \n \n \n \n |
| #6 | Qwen/Qwen3-8B | \n \n 43.22\n \n \n \n \n | \n \n 19.60\n \n \n \n \n | \n \n 18.43\n \n \n \n \n |
| #7 | Qwen/Qwen3-32B | \n \n 41.21\n \n \n \n \n | \n \n 34.00\n \n \n \n \n | \n \n 26.97\n \n \n \n \n |
| #8 | thinkingmachines/Inkling-Small-NVFP4 | \n \n 39.36\n \n \n \n \n | \n \n 37.19\n \n \n \n \n | \n \n 47.24\n \n \n \n \n |
| #9 | Qwen/Qwen3.8-27B | \n \n 35.85\n \n \n \n \n | \n \n 34.00\n \n \n \n \n | \n \n 51.76\n \n \n \n \n |
Hello
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| đĨ 2 | openai/gpt-4.1 | \n \n 96.11\n \n \n \n \n | \n \n 92.08\n \n \n \n \n | \n \n 97.25\n \n \n \n \n | \n \n 99.00\n \n \n \n \n |
| đĨ 3 | m42-health/Llama3-Med42-70B | \n \n 95.14\n \n \n \n \n | \n \n 90.00\n \n \n \n \n | \n \n 97.42\n \n \n \n \n | \n \n 98.00\n \n \n \n \n |
| #4 | openai/gpt-4.1-mini | \n \n 94.69\n \n \n \n \n | \n \n 88.58\n \n \n \n \n | \n \n 96.67\n \n \n \n \n | \n \n 98.83\n \n \n \n \n |
| #5 | chengang12345/Qwen2.5-32B-Instruct-FineTune | \n \n 94.64\n \n \n \n \n | \n \n 92.41\n \n \n \n \n | \n \n 96.83\n \n \n \n \n | \n \n 94.67\n \n \n \n \n |
| #6 | google/gemini-2.5-flash-preview-04-17-thinking | \n \n 94.61\n \n \n \n \n | \n \n 87.50\n \n \n \n \n | \n \n 97.33\n \n \n \n \n | \n \n 99.00\n \n \n \n \n |
| #7 | Intelligent-Internet/II-Medical-8B | \n \n 94.50\n \n \n \n \n | \n \n 89.07\n \n \n \n \n | \n \n 95.92\n \n \n \n \n | \n \n 98.50\n \n \n \n \n |
| #8 | openai/o4-mini | \n \n 94.27\n \n \n \n \n | \n \n 90.08\n \n \n \n \n | \n \n 96.91\n \n \n \n \n | \n \n 95.83\n \n \n \n \n |
| #9 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 93.94\n \n \n \n \n | \n \n 86.25\n \n \n \n \n | \n \n 97.58\n \n \n \n \n | \n \n 98.00\n \n \n \n \n |
| #10 | deepseek-ai/DeepSeek-V3 | \n \n 93.89\n \n \n \n \n | \n \n 85.33\n \n \n \n \n | \n \n 97.33\n \n \n \n \n | \n \n 99.00\n \n \n \n \n |
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| đĨ 1 | Qwen/Qwen3.6-35B-A3B | \n \n 97.65\n \n \n \n \n | \n \n 97.92\n \n \n \n \n | \n \n 95.80\n \n \n \n \n | \n \n 99.24\n \n \n \n \n |
| đĨ 2 | google/gemini-2.5-flash-preview-04-17-thinking | \n \n 95.76\n \n \n \n \n | \n \n 93.52\n \n \n \n \n | \n \n 97.53\n \n \n \n \n | \n \n 96.24\n \n \n \n \n |
| đĨ 3 | deepseek-ai/DeepSeek-V3 | \n \n 94.23\n \n \n \n \n | \n \n 89.33\n \n \n \n \n | \n \n 97.45\n \n \n \n \n | \n \n 95.92\n \n \n \n \n |
| #4 | Qwen/Qwen2.5-72B | \n \n 93.92\n \n \n \n \n | \n \n 86.72\n \n \n \n \n | \n \n 98.56\n \n \n \n \n | \n \n 96.48\n \n \n \n \n |
| #5 | microsoft/phi-4 | \n \n 93.89\n \n \n \n \n | \n \n 88.91\n \n \n \n \n | \n \n 97.32\n \n \n \n \n | \n \n 95.44\n \n \n \n \n |
| #6 | Qwen/QwQ-32B-Preview | \n \n 93.71\n \n \n \n \n | \n \n 90.48\n \n \n \n \n | \n \n 97.37\n \n \n \n \n | \n \n 93.28\n \n \n \n \n |
| #7 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | \n \n 93.64\n \n \n \n \n | \n \n 86.85\n \n \n \n \n | \n \n 97.36\n \n \n \n \n | \n \n 96.72\n \n \n \n \n |
| #8 | OpenMeditron/Meditron3-70B | \n \n 93.34\n \n \n \n \n | \n \n 85.57\n \n \n \n \n | \n \n 98.28\n \n \n \n \n | \n \n 96.16\n \n \n \n \n |
| #9 | openai/gpt-4.1 | \n \n 93.22\n \n \n \n \n | \n \n 90.31\n \n \n \n \n | \n \n 97.60\n \n \n \n \n | \n \n 91.76\n \n \n \n \n |
| #10 | openai/gpt-4.1-mini | \n \n 93.19\n \n \n \n \n | \n \n 89.48\n \n \n \n \n | \n \n 96.80\n \n \n \n \n | \n \n 93.28\n \n \n \n \n |
Hello
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| đĨ 1 | Qwen/Qwen3.6-35B-A3B | \n \n 2087.00\n \n \n \n \n | +23/-20 | \n \n 8.97\n \n \n \n \n | +0.01/-0.01 |
| đĨ 2 | openai/gpt-oss-120b | \n \n 2032.00\n \n \n \n \n | +23/-22 | \n \n 8.88\n \n \n \n \n | +0.03/-0.03 |
| đĨ 3 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 1897.00\n \n \n \n \n | +19/-17 | \n \n 8.75\n \n \n \n \n | +0.02/-0.02 |
| #4 | Qwen/Qwen3-30B-A3B | \n \n 1874.00\n \n \n \n \n | +25/-22 | \n \n 8.73\n \n \n \n \n | +0.02/-0.02 |
| #5 | openai/gpt-oss-20b | \n \n 1833.00\n \n \n \n \n | +33/-31 | \n \n 8.27\n \n \n \n \n | +0.07/-0.06 |
| #6 | google/gemini-2.5-flash-preview-04-17-thinking | \n \n 1820.00\n \n \n \n \n | +26/-21 | \n \n 8.62\n \n \n \n \n | +0.03/-0.02 |
| #7 | Qwen/Qwen3-235B-A22B | \n \n 1813.00\n \n \n \n \n | +22/-16 | \n \n 8.66\n \n \n \n \n | +0.02/-0.02 |
| #8 | Qwen/Qwen3-32B | \n \n 1813.00\n \n \n \n \n | +22/-17 | \n \n 8.67\n \n \n \n \n | +0.03/-0.02 |
| #9 | openai/gpt-5-mini | \n \n 1790.00\n \n \n \n \n | +26/-19 | \n \n 8.56\n \n \n \n \n | +0.05/-0.03 |
| #10 | openai/o4-mini | \n \n 1781.00\n \n \n \n \n | +23/-19 | \n \n 8.56\n \n \n \n \n | +0.04/-0.03 |
Hello
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| đĨ 1 | openai/gpt-oss-120b | \n \n 2077.00\n \n \n \n \n | +24/-20.0 | \n \n 8.79\n \n \n \n \n | +0.02/-0.02 |
| đĨ 2 | CohereForAI/aya-expanse-32b | \n \n 1812.00\n \n \n \n \n | +23/-20.0 | \n \n 8.54\n \n \n \n \n | +0.02/-0.02 |
| đĨ 3 | openai/gpt-oss-20b | \n \n 1783.00\n \n \n \n \n | +27/-25.0 | \n \n 8.10\n \n \n \n \n | +0.04/-0.04 |
| #4 | Qwen/Qwen3-32B | \n \n 1740.00\n \n \n \n \n | +25/-19.0 | \n \n 8.39\n \n \n \n \n | +0.02/-0.02 |
| #5 | Qwen/Qwen3-14B | \n \n 1648.00\n \n \n \n \n | +23/-20.0 | \n \n 8.23\n \n \n \n \n | +0.03/-0.02 |
| #6 | Qwen/Qwen3-30B-A3B | \n \n 1601.00\n \n \n \n \n | +28/-25.0 | \n \n 8.15\n \n \n \n \n | +0.02/-0.02 |
| #7 | m42-health/Llama3-Med42-70B | \n \n 1574.00\n \n \n \n \n | +25/-25.0 | \n \n 7.34\n \n \n \n \n | +0.05/-0.03 |
| #8 | meta-llama/Llama-3.1-405B-Instruct | \n \n 1562.00\n \n \n \n \n | +22/-22.0 | \n \n 7.89\n \n \n \n \n | +0.03/-0.03 |
| #9 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 1545.00\n \n \n \n \n | +32/-23.0 | \n \n 7.40\n \n \n \n \n | +0.03/-0.04 |
| #10 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | \n \n 1532.00\n \n \n \n \n | +35/-31.0 | \n \n 7.85\n \n \n \n \n | +0.03/-0.02 |
Hello
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| đĨ 1 | openai/gpt-oss-120b | \n \n 2092.00\n \n \n \n \n | +29/-26 | \n \n 8.89\n \n \n \n \n | +0.02/-0.02 |
| đĨ 2 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 1830.00\n \n \n \n \n | +23/-20 | \n \n 8.74\n \n \n \n \n | +0.01/-0.01 |
| đĨ 3 | openai/gpt-oss-20b | \n \n 1709.00\n \n \n \n \n | +33/-30 | \n \n 8.25\n \n \n \n \n | +0.03/-0.03 |
| #4 | meta-llama/Llama-3.3-70B-Instruct | \n \n 1705.00\n \n \n \n \n | +17/-16 | \n \n 8.63\n \n \n \n \n | +0.007/-0.007 |
| #5 | CohereForAI/aya-expanse-32b | \n \n 1686.00\n \n \n \n \n | +25/-21 | \n \n 8.57\n \n \n \n \n | +0.01/-0.01 |
| #6 | m42-health/Llama3-Med42-70B | \n \n 1587.00\n \n \n \n \n | +23/-25 | \n \n 8.43\n \n \n \n \n | +0.01/-0.01 |
| #7 | Qwen/Qwen3-32B | \n \n 1578.00\n \n \n \n \n | +27/-22 | \n \n 8.35\n \n \n \n \n | +0.02/-0.01 |
| #8 | meta-llama/Llama-3.1-405B-Instruct | \n \n 1554.00\n \n \n \n \n | +27/-21 | \n \n 8.31\n \n \n \n \n | +0.02/-0.01 |
| #9 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | \n \n 1540.00\n \n \n \n \n | +23/-23 | \n \n 8.26\n \n \n \n \n | +0.02/-0.02 |
| #10 | meta-llama/Llama-4-Scout-17B-16E-Instruct | \n \n 1494.00\n \n \n \n \n | +31/-21 | \n \n 8.09\n \n \n \n \n | +0.02/-0.02 |
Hello
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| #5 | CohereForAI/aya-expanse-32b | \n \n 1703.00\n \n \n \n \n | +28/-24 | \n \n 8.59\n \n \n \n \n | +0.01/-0.01 |
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| #7 | meta-llama/Llama-3.1-405B-Instruct | \n \n 1567.00\n \n \n \n \n | +25/-17 | \n \n 8.38\n \n \n \n \n | +0.01/-0.01 |
| #8 | Qwen/Qwen3-32B | \n \n 1553.00\n \n \n \n \n | +24/-21 | \n \n 8.37\n \n \n \n \n | +0.02/-0.01 |
| #9 | microsoft/phi-4 | \n \n 1468.00\n \n \n \n \n | +26/-25 | \n \n 8.17\n \n \n \n \n | +0.02/-0.02 |
| #10 | Qwen/Qwen3-14B | \n \n 1444.00\n \n \n \n \n | +24/-22 | \n \n 8.16\n \n \n \n \n | +0.01/-0.02 |
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|---|---|---|---|---|---|
| đĨ 1 | openai/gpt-oss-120b | \n \n 2028.00\n \n \n \n \n | +27/-23 | \n \n 8.86\n \n \n \n \n | +0.02/-0.02 |
| đĨ 2 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 1809.00\n \n \n \n \n | +21/-18 | \n \n 8.74\n \n \n \n \n | +0.01/-0.01 |
| đĨ 3 | meta-llama/Llama-3.3-70B-Instruct | \n \n 1720.00\n \n \n \n \n | +32/-22 | \n \n 8.57\n \n \n \n \n | +0.012/-0.01 |
| #4 | CohereForAI/aya-expanse-32b | \n \n 1678.00\n \n \n \n \n | +24/-19 | \n \n 8.53\n \n \n \n \n | +0.02/-0.02 |
| #5 | openai/gpt-oss-20b | \n \n 1678.00\n \n \n \n \n | +30/-24 | \n \n 8.15\n \n \n \n \n | +0.03/-0.04 |
| #6 | meta-llama/Llama-3.1-405B-Instruct | \n \n 1605.00\n \n \n \n \n | +25/-20 | \n \n 8.41\n \n \n \n \n | +0.02/-0.01 |
| #7 | m42-health/Llama3-Med42-70B | \n \n 1558.00\n \n \n \n \n | +26/-21 | \n \n 8.37\n \n \n \n \n | +0.01/-0.02 |
| #8 | Qwen/Qwen3-32B | \n \n 1557.00\n \n \n \n \n | +23/-25 | \n \n 8.32\n \n \n \n \n | +0.02/-0.02 |
| #9 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | \n \n 1521.00\n \n \n \n \n | +26/-27 | \n \n 8.16\n \n \n \n \n | +0.02/-0.02 |
| #10 | meta-llama/Llama-3.1-70B-Instruct | \n \n 1494.00\n \n \n \n \n | +26/-24 | \n \n 8.06\n \n \n \n \n | +0.02/-0.02 |
Hello
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| đĨ 2 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 1827.00\n \n \n \n \n | +24/-23 | \n \n 8.71\n \n \n \n \n | +0.02/-0.01 |
| đĨ 3 | CohereForAI/aya-expanse-32b | \n \n 1703.00\n \n \n \n \n | +23/-18 | \n \n 8.49\n \n \n \n \n | +0.02/-0.02 |
| #4 | openai/gpt-oss-20b | \n \n 1690.00\n \n \n \n \n | +28/-30 | \n \n 8.13\n \n \n \n \n | +0.04/-0.03 |
| #5 | meta-llama/Llama-3.3-70B-Instruct | \n \n 1650.00\n \n \n \n \n | +22/-19 | \n \n 8.43\n \n \n \n \n | +0.01/-0.01 |
| #6 | m42-health/Llama3-Med42-70B | \n \n 1587.00\n \n \n \n \n | +21/-21 | \n \n 8.33\n \n \n \n \n | +0.02/-0.02 |
| #7 | Qwen/Qwen3-32B | \n \n 1577.00\n \n \n \n \n | +28/-18 | \n \n 8.25\n \n \n \n \n | +0.02/-0.02 |
| #8 | meta-llama/Llama-3.1-405B-Instruct | \n \n 1562.00\n \n \n \n \n | +22/-20 | \n \n 8.22\n \n \n \n \n | +0.02/-0.01 |
| #9 | meta-llama/Llama-4-Scout-17B-16E-Instruct | \n \n 1526.00\n \n \n \n \n | +25/-23 | \n \n 8.05\n \n \n \n \n | +0.02/-0.02 |
| #10 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | \n \n 1497.00\n \n \n \n \n | +27/-23 | \n \n 8.04\n \n \n \n \n | +0.02/-0.02 |
Hello
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| đĨ 1 | openai/gpt-oss-120b | \n \n 1912.00\n \n \n \n \n | +23/-28.0 | \n \n 8.31\n \n \n \n \n | +0.04/-0.05 |
| đĨ 2 | CohereForAI/aya-expanse-32b | \n \n 1818.00\n \n \n \n \n | +23/-20.0 | \n \n 8.38\n \n \n \n \n | +0.02/-0.02 |
| đĨ 3 | m42-health/Llama3-Med42-70B | \n \n 1690.00\n \n \n \n \n | +26/-24.0 | \n \n 7.94\n \n \n \n \n | +0.03/-0.02 |
| #4 | Qwen/Qwen3-32B | \n \n 1685.00\n \n \n \n \n | +24/-29.0 | \n \n 8.12\n \n \n \n \n | +0.02/-0.02 |
| #5 | openai/gpt-oss-20b | \n \n 1666.00\n \n \n \n \n | +32/-25.0 | \n \n 7.24\n \n \n \n \n | +0.06/-0.04 |
| #6 | meta-llama/Llama-3.1-405B-Instruct | \n \n 1660.00\n \n \n \n \n | +23/-25.0 | \n \n 8.02\n \n \n \n \n | +0.03/-0.02 |
| #7 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 1634.00\n \n \n \n \n | +27/-22.0 | \n \n 7.33\n \n \n \n \n | +0.03/-0.03 |
| #8 | Qwen/Qwen3-14B | \n \n 1613.00\n \n \n \n \n | +26/-25.0 | \n \n 8.00\n \n \n \n \n | +0.02/-0.02 |
| #9 | meta-llama/Llama-3.3-70B-Instruct | \n \n 1599.00\n \n \n \n \n | +18/-18.0 | \n \n 7.64\n \n \n \n \n | +0.017/-0.018 |
| #10 | Qwen/Qwen3-30B-A3B | \n \n 1575.00\n \n \n \n \n | +26/-24.0 | \n \n 7.71\n \n \n \n \n | +0.03/-0.02 |
Hello
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| đĨ 1 | deepseek-ai/DeepSeek-V4-Flash | - | - | 95.13 | 77.20 | 67.33 | 46.69 |
| đĨ 2 | thinkingmachines/Inkling-Small-NVFP4 | - | - | 94.82 | 77.70 | 68.00 | 47.47 |
| đĨ 3 | Qwen/Qwen3.8-27B | - | - | 94.27 | 77.50 | 59.33 | 40.41 |
| #4 | Qwen/Qwen3.6-27B | - | - | 93.01 | 81.30 | 63.33 | 41.63 |
| #5 | Qwen/Qwen3.6-35B-A3B | - | - | 92.62 | 80.70 | 63.67 | 40.82 |
| #6 | Qwen/Qwen3.5-397B-A17B | - | - | 89.63 | - | - | - |
| #7 | google/gemma-4-31B-it | - | - | 86.88 | 80.00 | 60.67 | 56.98 |
| #8 | moonshotai/Kimi-K2-Thinking | 76.22 | 76.09 | 85.47 | 78.80 | - | - |
| #9 | mistralai/Mistral-Large-3-675B-Instruct-2512 | 72.13 | 76.57 | 84.21 | 79.20 | - | - |
| #10 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | 77.64 | 77.50 | 83.50 | 78.40 | - | - |
Hello
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| đĨ 1 | Qwen/Qwen2.5-72B-Instruct | \n \n 78.79\n \n \n \n \n | \n \n 76.88\n \n \n \n \n | \n \n 81.13\n \n \n \n \n | \n \n 81.20\n \n \n \n \n | \n \n 81.86\n \n \n \n \n | \n \n 78.80\n \n \n \n \n | \n \n 72.89\n \n \n \n \n |
| đĨ 2 | meta-llama/Llama-3.3-70B-Instruct | \n \n 78.62\n \n \n \n \n | \n \n 73.42\n \n \n \n \n | \n \n 80.66\n \n \n \n \n | \n \n 80.86\n \n \n \n \n | \n \n 80.86\n \n \n \n \n | \n \n 78.94\n \n \n \n \n | \n \n 77.01\n \n \n \n \n |
| đĨ 3 | m42-health/Llama3-Med42-70B | \n \n 75.29\n \n \n \n \n | \n \n 69.30\n \n \n \n \n | \n \n 78.07\n \n \n \n \n | \n \n 77.74\n \n \n \n \n | \n \n 78.54\n \n \n \n \n | \n \n 76.68\n \n \n \n \n | \n \n 71.43\n \n \n \n \n |
| #4 | google/gemma-3-27b-it | \n \n 73.03\n \n \n \n \n | \n \n 68.24\n \n \n \n \n | \n \n 74.68\n \n \n \n \n | \n \n 74.75\n \n \n \n \n | \n \n 74.35\n \n \n \n \n | \n \n 73.62\n \n \n \n \n | \n \n 72.56\n \n \n \n \n |
| #5 | Qwen/Qwen3-14B | \n \n 70.14\n \n \n \n \n | \n \n 61.73\n \n \n \n \n | \n \n 74.75\n \n \n \n \n | \n \n 72.96\n \n \n \n \n | \n \n 74.15\n \n \n \n \n | \n \n 71.16\n \n \n \n \n | \n \n 66.06\n \n \n \n \n |
| #6 | CohereForAI/aya-expanse-32b | \n \n 69.44\n \n \n \n \n | \n \n 64.32\n \n \n \n \n | \n \n 71.16\n \n \n \n \n | \n \n 70.70\n \n \n \n \n | \n \n 71.63\n \n \n \n \n | \n \n 70.90\n \n \n \n \n | \n \n 67.91\n \n \n \n \n |
| #7 | Qwen/Qwen3-8B | \n \n 65.61\n \n \n \n \n | \n \n 59.14\n \n \n \n \n | \n \n 68.84\n \n \n \n \n | \n \n 70.56\n \n \n \n \n | \n \n 70.10\n \n \n \n \n | \n \n 67.64\n \n \n \n \n | \n \n 57.41\n \n \n \n \n |
| #8 | mistralai/Mistral-7B-Instruct-v0.3 | \n \n 47.42\n \n \n \n \n | \n \n 33.02\n \n \n \n \n | \n \n 55.95\n \n \n \n \n | \n \n 54.49\n \n \n \n \n | \n \n 52.43\n \n \n \n \n | \n \n 53.22\n \n \n \n \n | \n \n 35.42\n \n \n \n \n |
Hello
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Response depth | \n
|---|---|---|---|---|---|---|---|---|---|
| đĨ 1 | Qwen/Qwen3.6-35B-A3B | \n \n 0.65\n \n \n \n \n | \n \n 0.66\n \n \n \n \n | \n \n 0.54\n \n \n \n \n | \n \n 0.64\n \n \n \n \n | \n \n 0.73\n \n \n \n \n | \n \n 0.59\n \n \n \n \n | \n \n 0.75\n \n \n \n \n | \n \n 0.56\n \n \n \n \n |
| đĨ 2 | openai/gpt-oss-120b | \n \n 0.60\n \n \n \n \n | \n \n 0.62\n \n \n \n \n | \n \n 0.47\n \n \n \n \n | \n \n 0.56\n \n \n \n \n | \n \n 0.70\n \n \n \n \n | \n \n 0.54\n \n \n \n \n | \n \n 0.68\n \n \n \n \n | \n \n 0.55\n \n \n \n \n |
| đĨ 3 | google/gemma-3-27b-it | \n \n 0.59\n \n \n \n \n | \n \n 0.62\n \n \n \n \n | \n \n 0.54\n \n \n \n \n | \n \n 0.55\n \n \n \n \n | \n \n 0.67\n \n \n \n \n | \n \n 0.52\n \n \n \n \n | \n \n 0.67\n \n \n \n \n | \n \n 0.45\n \n \n \n \n |
| #4 | Qwen/Qwen3-30B-A3B-Thinking-2507 | \n \n 0.58\n \n \n \n \n | \n \n 0.63\n \n \n \n \n | \n \n 0.46\n \n \n \n \n | \n \n 0.56\n \n \n \n \n | \n \n 0.67\n \n \n \n \n | \n \n 0.54\n \n \n \n \n | \n \n 0.69\n \n \n \n \n | \n \n 0.40\n \n \n \n \n |
| #5 | google/medgemma-27b-text-it | \n \n 0.57\n \n \n \n \n | \n \n 0.61\n \n \n \n \n | \n \n 0.54\n \n \n \n \n | \n \n 0.53\n \n \n \n \n | \n \n 0.65\n \n \n \n \n | \n \n 0.51\n \n \n \n \n | \n \n 0.66\n \n \n \n \n | \n \n 0.46\n \n \n \n \n |
| #6 | Qwen/Qwen3-8B | \n \n 0.56\n \n \n \n \n | \n \n 0.60\n \n \n \n \n | \n \n 0.42\n \n \n \n \n | \n \n 0.53\n \n \n \n \n | \n \n 0.65\n \n \n \n \n | \n \n 0.50\n \n \n \n \n | \n \n 0.67\n \n \n \n \n | \n \n 0.46\n \n \n \n \n |
| #7 | Intelligent-Internet/II-Medical-8B | \n \n 0.54\n \n \n \n \n | \n \n 0.59\n \n \n \n \n | \n \n 0.40\n \n \n \n \n | \n \n 0.50\n \n \n \n \n | \n \n 0.63\n \n \n \n \n | \n \n 0.49\n \n \n \n \n | \n \n 0.66\n \n \n \n \n | \n \n 0.43\n \n \n \n \n |
| #8 | Qwen/Qwen3-4B-Thinking-2507 | \n \n 0.54\n \n \n \n \n | \n \n 0.58\n \n \n \n \n | \n \n 0.45\n \n \n \n \n | \n \n 0.48\n \n \n \n \n | \n \n 0.62\n \n \n \n \n | \n \n 0.51\n \n \n \n \n | \n \n 0.67\n \n \n \n \n | \n \n 0.38\n \n \n \n \n |
| #9 | Qwen/Qwen3-235B-A22B | \n \n 0.50\n \n \n \n \n | \n \n 0.54\n \n \n \n \n | \n \n 0.37\n \n \n \n \n | \n \n 0.46\n \n \n \n \n | \n \n 0.61\n \n \n \n \n | \n \n 0.43\n \n \n \n \n | \n \n 0.63\n \n \n \n \n | \n \n 0.35\n \n \n \n \n |
| #10 | Qwen/Qwen3-32B | \n \n 0.50\n \n \n \n \n | \n \n 0.53\n \n \n \n \n | \n \n 0.38\n \n \n \n \n | \n \n 0.45\n \n \n \n \n | \n \n 0.60\n \n \n \n \n | \n \n 0.44\n \n \n \n \n | \n \n 0.62\n \n \n \n \n | \n \n 0.35\n \n \n \n \n |
Hello
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Response depth | \n
|---|---|---|---|---|---|---|---|---|---|
| đĨ 1 | Qwen/Qwen3.6-35B-A3B | \n \n 0.43\n \n \n \n \n | \n \n 0.45\n \n \n \n \n | \n \n 0.29\n \n \n \n \n | \n \n 0.48\n \n \n \n \n | \n \n 0.45\n \n \n \n \n | \n \n 0.46\n \n \n \n \n | \n \n 0.47\n \n \n \n \n | \n \n 0.35\n \n \n \n \n |
| đĨ 2 | openai/gpt-oss-120b | \n \n 0.39\n \n \n \n \n | \n \n 0.41\n \n \n \n \n | \n \n 0.22\n \n \n \n \n | \n \n 0.42\n \n \n \n \n | \n \n 0.42\n \n \n \n \n | \n \n 0.40\n \n \n \n \n | \n \n 0.41\n \n \n \n \n | \n \n 0.35\n \n \n \n \n |
| đĨ 3 | Qwen/Qwen3-30B-A3B-Thinking-2507 | \n \n 0.37\n \n \n \n \n | \n \n 0.41\n \n \n \n \n | \n \n 0.22\n \n \n \n \n | \n \n 0.42\n \n \n \n \n | \n \n 0.39\n \n \n \n \n | \n \n 0.40\n \n \n \n \n | \n \n 0.40\n \n \n \n \n | \n \n 0.25\n \n \n \n \n |
| #4 | google/gemma-3-27b-it | \n \n 0.36\n \n \n \n \n | \n \n 0.38\n \n \n \n \n | \n \n 0.33\n \n \n \n \n | \n \n 0.39\n \n \n \n \n | \n \n 0.33\n \n \n \n \n | \n \n 0.39\n \n \n \n \n | \n \n 0.36\n \n \n \n \n | \n \n 0.25\n \n \n \n \n |
| #5 | google/medgemma-27b-text-it | \n \n 0.33\n \n \n \n \n | \n \n 0.33\n \n \n \n \n | \n \n 0.32\n \n \n \n \n | \n \n 0.36\n \n \n \n \n | \n \n 0.31\n \n \n \n \n | \n \n 0.35\n \n \n \n \n | \n \n 0.30\n \n \n \n \n | \n \n 0.25\n \n \n \n \n |
| #6 | Qwen/Qwen3-8B | \n \n 0.32\n \n \n \n \n | \n \n 0.38\n \n \n \n \n | \n \n 0.19\n \n \n \n \n | \n \n 0.36\n \n \n \n \n | \n \n 0.34\n \n \n \n \n | \n \n 0.34\n \n \n \n \n | \n \n 0.31\n \n \n \n \n | \n \n 0.24\n \n \n \n \n |
| #7 | Qwen/Qwen3-4B-Thinking-2507 | \n \n 0.32\n \n \n \n \n | \n \n 0.34\n \n \n \n \n | \n \n 0.21\n \n \n \n \n | \n \n 0.34\n \n \n \n \n | \n \n 0.29\n \n \n \n \n | \n \n 0.38\n \n \n \n \n | \n \n 0.40\n \n \n \n \n | \n \n 0.17\n \n \n \n \n |
| #8 | Intelligent-Internet/II-Medical-8B | \n \n 0.30\n \n \n \n \n | \n \n 0.34\n \n \n \n \n | \n \n 0.15\n \n \n \n \n | \n \n 0.32\n \n \n \n \n | \n \n 0.35\n \n \n \n \n | \n \n 0.33\n \n \n \n \n | \n \n 0.33\n \n \n \n \n | \n \n 0.23\n \n \n \n \n |
| #9 | openai/gpt-oss-20b | \n \n 0.26\n \n \n \n \n | \n \n 0.30\n \n \n \n \n | \n \n 0.12\n \n \n \n \n | \n \n 0.26\n \n \n \n \n | \n \n 0.28\n \n \n \n \n | \n \n 0.27\n \n \n \n \n | \n \n 0.29\n \n \n \n \n | \n \n 0.27\n \n \n \n \n |
| #10 | Qwen/Qwen3-235B-A22B | \n \n 0.24\n \n \n \n \n | \n \n 0.27\n \n \n \n \n | \n \n 0.10\n \n \n \n \n | \n \n 0.27\n \n \n \n \n | \n \n 0.27\n \n \n \n \n | \n \n 0.28\n \n \n \n \n | \n \n 0.26\n \n \n \n \n | \n \n 0.18\n \n \n \n \n |
Hello
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| đĨ 1 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 0.70\n \n \n \n \n | \n \n 0.93\n \n \n \n \n | \n \n 0.20\n \n \n \n \n | \n \n 0.03\n \n \n \n \n |
| đĨ 2 | Qwen/Qwen2.5-72B-Instruct | \n \n 0.69\n \n \n \n \n | \n \n 0.83\n \n \n \n \n | \n \n 0.17\n \n \n \n \n | \n \n 0.10\n \n \n \n \n |
| đĨ 3 | mistralai/Mistral-Large-3-675B-Instruct-2512 | \n \n 0.66\n \n \n \n \n | \n \n 0.52\n \n \n \n \n | \n \n 0.43\n \n \n \n \n | \n \n 0.23\n \n \n \n \n |
| #4 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | \n \n 0.66\n \n \n \n \n | \n \n 0.89\n \n \n \n \n | \n \n 0.20\n \n \n \n \n | \n \n 0.07\n \n \n \n \n |
| #5 | Qwen/Qwen3-235B-A22B | \n \n 0.35\n \n \n \n \n | \n \n 0.83\n \n \n \n \n | \n \n 0.13\n \n \n \n \n | \n \n 0.20\n \n \n \n \n |
| #6 | openai/gpt-oss-120b | \n \n 0.34\n \n \n \n \n | \n \n 0.88\n \n \n \n \n | \n \n 0.50\n \n \n \n \n | \n \n 0.47\n \n \n \n \n |
| #7 | openai/gpt-oss-20b | \n \n 0.33\n \n \n \n \n | \n \n 0.82\n \n \n \n \n | \n \n 0.20\n \n \n \n \n | \n \n 0.10\n \n \n \n \n |
| #8 | microsoft/MediPhi | \n \n 0.33\n \n \n \n \n | \n \n 0.82\n \n \n \n \n | \n \n 0.00\n \n \n \n \n | \n \n 0.03\n \n \n \n \n |
| #9 | Qwen/Qwen3-8B | \n \n 0.26\n \n \n \n \n | \n \n 0.88\n \n \n \n \n | \n \n 0.27\n \n \n \n \n | \n \n 0.13\n \n \n \n \n |
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| đĨ 3 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | \n \n 0.01\n \n \n \n \n | \n \n 0.13\n \n \n \n \n | \n \n 0.23\n \n \n \n \n |
| #4 | microsoft/phi-4 | \n \n 0.01\n \n \n \n \n | \n \n 0.12\n \n \n \n \n | \n \n 0.22\n \n \n \n \n |
| #5 | mistralai/Mistral-Large-3-675B-Instruct-2512 | \n \n 0.01\n \n \n \n \n | \n \n 0.10\n \n \n \n \n | \n \n 0.20\n \n \n \n \n |
| #6 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 0.01\n \n \n \n \n | \n \n 0.11\n \n \n \n \n | \n \n 0.20\n \n \n \n \n |
| #7 | aaditya/Llama3-OpenBioLLM-70B | \n \n 0.01\n \n \n \n \n | \n \n 0.12\n \n \n \n \n | \n \n 0.20\n \n \n \n \n |
| #8 | m42-health/Llama3-Med42-70B | \n \n 0.01\n \n \n \n \n | \n \n 0.11\n \n \n \n \n | \n \n 0.20\n \n \n \n \n |
| #9 | mistralai/Mistral-7B-Instruct-v0.3 | \n \n 0.01\n \n \n \n \n | \n \n 0.09\n \n \n \n \n | \n \n 0.17\n \n \n \n \n |
| #10 | m42-health/Llama3-Med42-8B | \n \n 0.01\n \n \n \n \n | \n \n 0.11\n \n \n \n \n | \n \n 0.20\n \n \n \n \n |
Hello
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|---|---|---|---|---|
| đĨ 1 | Qwen/Qwen2.5-72B-Instruct | \n \n 0.02\n \n \n \n \n | \n \n 0.15\n \n \n \n \n | \n \n 0.27\n \n \n \n \n |
| đĨ 2 | deepseek-ai/DeepSeek-V3.1 | \n \n 0.02\n \n \n \n \n | \n \n 0.16\n \n \n \n \n | \n \n 0.27\n \n \n \n \n |
| đĨ 3 | meta-llama/Llama-4-Maverick-17B-128E-Instruct | \n \n 0.02\n \n \n \n \n | \n \n 0.14\n \n \n \n \n | \n \n 0.24\n \n \n \n \n |
| #4 | Qwen/Qwen3-235B-A22B | \n \n 0.01\n \n \n \n \n | \n \n 0.13\n \n \n \n \n | \n \n 0.26\n \n \n \n \n |
| #5 | microsoft/phi-4 | \n \n 0.01\n \n \n \n \n | \n \n 0.12\n \n \n \n \n | \n \n 0.23\n \n \n \n \n |
| #6 | mistralai/Mistral-Large-3-675B-Instruct-2512 | \n \n 0.01\n \n \n \n \n | \n \n 0.11\n \n \n \n \n | \n \n 0.22\n \n \n \n \n |
| #7 | openai/gpt-oss-20b | \n \n 0.01\n \n \n \n \n | \n \n 0.11\n \n \n \n \n | \n \n 0.21\n \n \n \n \n |
| #8 | Qwen/Qwen3-8B | \n \n 0.01\n \n \n \n \n | \n \n 0.12\n \n \n \n \n | \n \n 0.21\n \n \n \n \n |
| #9 | moonshotai/Kimi-K2-Thinking | \n \n 0.01\n \n \n \n \n | \n \n 0.06\n \n \n \n \n | \n \n 0.18\n \n \n \n \n |
| #10 | nvidia/Llama-3.1-Nemotron-70B-Instruct-HF | \n \n 0.01\n \n \n \n \n | \n \n 0.12\n \n \n \n \n | \n \n 0.21\n \n \n \n \n |
Hello
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It doesn't support adapter models yet but we will soon add adapters too.\n\n## Submission Guide for the MEDIC Benchamark\n\n## First Steps Before Submitting a Model\n\n### 1. Ensure Your Model Loads with AutoClasses\nVerify that you can load your model and tokenizer using AutoClasses:\n```python\nfrom transformers import AutoConfig, AutoModel, AutoTokenizer\nconfig = AutoConfig.from_pretrained(\"your model name\", revision=revision)\nmodel = AutoModel.from_pretrained(\"your model name\", revision=revision)\ntokenizer = AutoTokenizer.from_pretrained(\"your model name\", revision=revision)\n```\nNote:\n- If this step fails, debug your model before submitting.\n- Ensure your model is public.\n\n### 2. Convert Weights to Safetensors\n[Safetensors](https://huggingface.co/docs/safetensors/index) is a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!\n\n### 3. 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how are you doing with that ? i know we've , you know , talked about not putting you on medication for it because you're on medication for other things . what's going on ?\n[patient] i- it's been kind of a crazy year and a half . i was a little concerned about that but , for the most part , i've been , been doing well with it . my , my wife got me into barre classes , to help me relax and i think it's working .\n[doctor] okay . all right , great . and , and in terms of your diabetes , how are you doing watching your , your diet and your sugar intake ?\n[patient] uh , i've been monitoring my sugar levels while i am going to work during the week . uh , not so , uh , if its saturday or sunday i usually don't remember . uh , the diet's been pretty good for the most part , except for , you know , some house parties and things like that . but , uh , been good for the most part .\n[doctor] okay and have they been elevated at all since this episode of your-\n[patient] no .\n[doctor] okay . and then , how , lastly , for your high blood pressure , have you been monitoring your blood pressures at home ? did you buy the cuff like i suggested ?\n[patient] uh , same thing . during the while i'm going to work, i'm regular about monitoring it, but if its a saturday or sunday, not so much . but , uh , it's , it's been under control .\n[doctor] but you're taking your medication ?\n[patient] yes .\n[doctor] okay . all right . well , you know , i know that , you know , you've endorsed , you know , the shortness of breath and some joint pain . um , how about any other symptoms ? nausea or vomiting ? diarrhea ?\n[patient] no .\n[doctor] anything like that ?\n[patient] no .\n[doctor] okay . all right . well , i wan na go ahead and do a quick physical exam , all right ? hey , dragon , show me the vital signs . so , your vital signs here in the office look quite good .\n[patient] mm-hmm .\n[doctor] you know , everything's looking normal , you do n't have a fever , which is really good . um , i'm just gon na go ahead and listen to your heart and your lungs and , kind of , i'll let you know what i hear , okay ?\n[patient] sure .\n[doctor] okay . so , on your physical exam , you know , your heart sounds nice and strong . your lungs , you do have scattered ronchi bilaterally on your lung exam . uh , it clears with cough . um , i do notice a little bit of , um , some edema of your lower extremities and you do have some pain to palpation of your elbows bilaterally . um , so , let's go ahead , i want to look at some of your results , okay ?\n[patient] mm-hmm .\n[doctor] hey , dragon . show me the chest x-ray .\n[doctor] so , i reviewed the results of your chest x-ray and everything looks good . there's no airspace disease , there's no pneumonia , so that's all very , very good , okay ?\n[patient] good .\n[doctor] hey , dragon . show me the diabetic labs .\n[doctor] and here , looking at your diabetic labs , you know , your hemoglobin a1c is a little elevated at eight .\n[patient] mm-hmm .\n[doctor] i'd like to see that a little bit better , around six or seven , if possible .\n[patient] mm-hmm .\n[doctor] um , so let's talk a little bit about my assessment and my plan for you .\n[patient] mm-hmm .\n[doctor] so , for your first problem , this upper respiratory infection , i believe you , you have a viral syndrome , okay ? we'll go ahead and we'll send a covid test , just to make sure that you do n't have covid .\n[patient] mm-hmm .\n[doctor] uh , but overall , i think that , um , you know , this will resolve in a couple of days . i do n't think you have covid , you do n't have any exposures , that type of thing .\n[patient] mm-hmm .\n[doctor] so , i think that this will improve . i'll give you some robitussin for your cough and i would encourage you take some ibuprofen , tylenol for any fever , okay ?\n[patient] you got it .\n[doctor] for your next problem , your depression , you know , it sounds like you're doing well with that , but again , i'm happy to start on a med- , a medical regiment or ...\n[patient] mm-hmm .\n[doctor] . refer you to psychotherapy , if you think that that would be helpful .\n[patient] mm-hmm .\n[doctor] would you like that ?\n[patient] u- u- um , maybe not necessarily . maybe in a , uh , few months we'll check on that .\n[doctor] okay . all right .\n[doctor] for your third problem , your type two diabetes , i want to go ahead and increase your metformin to 1000 milligrams , twice daily .\n[patient] mm-hmm .\n[doctor] and i'm gon na get an- another hemoglobin a1c in four months , okay ?\n[patient] okay , sure .\n[doctor] hey , dragon . order a hemoglobin a1c .\n[doctor] and lastly , for your high blood pressure , it looks like you're doing a really good job managing that . i want to go ahead and continue you on the , um , lisinopril , 20 milligrams a day .\n[patient] mm-hmm .\n[doctor] and i'm gon na go ahead and order a lipid panel , okay ?\n[patient] sure .\n[doctor] do you need a refill of the lisinopril ?\n[patient] actually , i do .\n[doctor] okay . hey , dragon . order lisinopril , 20 milligrams daily .\n[doctor] so , the nurse will be in , she'll help you , uh , make a follow-up appointment with me . i want to see you again in about four months .\n[patient] okay .\n[doctor] let me know if your symptoms worsen and we can talk more about it , okay ?\n[patient] you got it .\n[doctor] all right . hey , dragon . finalize the note .","type":"text","lines":15,"label":"User Prompt","show_label":true,"container":true,"min_width":160,"visible":true,"elem_id":"user-prompt-textbox-medical_summarization-response_generation","autofocus":false,"autoscroll":true,"elem_classes":[],"rtl":false,"show_copy_button":true,"submit_btn":false,"stop_btn":false,"name":"textbox","_selectable":false},"skip_api":false,"component_class_id":"ad9c3f714247746291346c2a8132a8d15ab68326a3bb22df88fcb9718ea34ecf","key":null,"api_info":{"type":"string"},"api_info_as_input":{"type":"string"},"api_info_as_output":{"type":"string"},"example_inputs":"Hello!!"},{"id":739,"type":"form","props":{"scale":0,"min_width":0,"name":"form"},"skip_api":true,"component_class_id":"7c96e70477dd55732fb1a4bc6696ddcc8ff96faeabe823f8c3311f0d1f92d0eb","key":null},{"id":740,"type":"accordion","props":{"label":"Question generation","open":false,"visible":true,"name":"accordion"},"skip_api":true,"component_class_id":"68fbff65480149a50fe591fef1948bbaed634b810b18b905b01f834add9fefe5","key":null},{"id":741,"type":"textbox","props":{"value":"You are a helpful clinical assistant.","type":"text","lines":2,"label":"System Prompt","show_label":true,"container":true,"min_width":160,"visible":true,"elem_id":"system-prompt-textbox-ce-question_generation","autofocus":false,"autoscroll":true,"elem_classes":[],"rtl":false,"show_copy_button":true,"submit_btn":false,"stop_btn":false,"name":"textbox","_selectable":false},"skip_api":false,"component_class_id":"ad9c3f714247746291346c2a8132a8d15ab68326a3bb22df88fcb9718ea34ecf","key":null,"api_info":{"type":"string"},"api_info_as_input":{"type":"string"},"api_info_as_output":{"type":"string"},"example_inputs":"Hello!!"},{"id":742,"type":"textbox","props":{"value":"As a clinical assistant, please formulate {{num_questions}} critical, concise and closed-ended questions (in a YES/NO format) that thoroughly scrutinize the content of the document. 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padding-top: 0;\n}\n#filter_type label {\n display: flex;\n}\n#filter_type label > span{\n margin-top: var(--spacing-lg);\n margin-right: 0.5em;\n}\n#filter_type label > .wrap{\n width: 103px;\n}\n#filter_type label > .wrap .wrap-inner{ \n padding: 2px;\n}\n#filter_type label > .wrap .wrap-inner input{\n width: 1px\n}\n#filter-columns-type{\n border:0;\n padding:0.5;\n}\n#filter-columns-size{\n border:0;\n padding:0.5;\n}\n#box-filter > .form{\n border: 0\n}\n\n@media (prefers-color-scheme: light) {\n :root {\n --v2-bg-primary: #ffffff;\n --v2-bg-secondary: #f8fafc;\n --v2-bg-card: #ffffff;\n --v2-bg-hover: #f1f5f9;\n \n /* Accent Colors */\n --v2-accent-primary: #e35454;\n --v2-accent-secondary: #f97316;\n --v2-accent-tertiary: #3b82f6;\n --v2-accent-success: #10b981;\n \n /* Text Colors */\n --v2-text-primary: #0f172a;\n --v2-text-secondary: #475569;\n --v2-text-tertiary: #64748b;\n --v2-text-muted: #94a3b8;\n \n /* Border Colors */\n --v2-border-primary: #e2e8f0;\n --v2-border-secondary: #f1f5f9;\n --v2-border-accent: #e35454;\n }\n}\n\n@media (prefers-color-scheme: dark) {\n :root {\n --v2-bg-primary: #1a1b1e;\n --v2-bg-secondary: #0f1011;\n --v2-bg-card: #1a1b1e;\n --v2-bg-hover: #2d2e32;\n \n /* Accent Colors */\n --v2-accent-primary: #e35454;\n --v2-accent-secondary: #f97316;\n --v2-accent-tertiary: #3b82f6;\n --v2-accent-success: #10b981;\n \n --v2-text-primary: #ffffff;\n --v2-text-secondary: #cbd5e1;\n --v2-text-tertiary: #94a3b8;\n --v2-text-muted: #64748b;\n \n --v2-border-primary: #2d2e32;\n --v2-border-secondary: rgba(245, 246, 247, 0.05);\n --v2-border-accent: #e35454;\n }\n}\n\n:root {\n /* Spacing */\n --v2-spacing-xs: 0.25rem;\n --v2-spacing-sm: 0.5rem;\n --v2-spacing-md: 1rem;\n --v2-spacing-lg: 1.5rem;\n --v2-spacing-xl: 2rem;\n --v2-spacing-2xl: 3rem;\n \n /* Typography - Geist font family */\n --v2-font-family: 'Geist', -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;\n --v2-font-size-xs: 0.75rem;\n --v2-font-size-sm: 0.875rem;\n --v2-font-size-base: 1rem;\n --v2-font-size-lg: 1.125rem;\n --v2-font-size-xl: 1.25rem;\n --v2-font-size-2xl: 1.5rem;\n --v2-font-size-3xl: 1.875rem;\n \n /* Border Radius */\n --v2-radius-sm: 0.375rem;\n --v2-radius-md: 0.5rem;\n --v2-radius-lg: 0.75rem;\n --v2-radius-xl: 1rem;\n --v2-radius-2xl: 1.5rem;\n \n /* Modern Shadows - Adaptive */\n --v2-shadow-sm: 0 1px 3px 0 rgba(0, 0, 0, 0.1), 0 1px 2px 0 rgba(0, 0, 0, 0.06);\n --v2-shadow-md: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);\n --v2-shadow-lg: 0 10px 15px -3px rgba(0, 0, 0, 0.1), 0 4px 6px -2px rgba(0, 0, 0, 0.05);\n --v2-shadow-xl: 0 20px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04);\n --v2-shadow-card: 0 2px 8px rgba(0, 0, 0, 0.08);\n --v2-shadow-card-hover: 0 8px 24px rgba(0, 0, 0, 0.12);\n \n /* Transitions */\n --v2-transition-fast: 150ms cubic-bezier(0.4, 0, 0.2, 1);\n --v2-transition-base: 250ms cubic-bezier(0.4, 0, 0.2, 1);\n --v2-transition-slow: 350ms cubic-bezier(0.4, 0, 0.2, 1);\n}\n\n/* V2 Modern Container - Adaptive theme */\n#leaderboard-v2,\n#leaderboard-v2-content {\n background: var(--v2-bg-secondary) !important;\n color: var(--v2-text-primary) !important;\n font-family: var(--v2-font-family) !important;\n min-height: 100vh;\n}\n\n/* Reduce Gradio's default gap between top elements in v2 */\n#leaderboard-v2-content > .gap,\n#leaderboard-v2-content.gap {\n gap: 0 !important;\n}\n\n/* Reduce spacing for first few HTML blocks (logo, info cards, title) */\n#leaderboard-v2-content > div:first-child,\n#leaderboard-v2-content > div:nth-child(2),\n#leaderboard-v2-content > div:nth-child(3),\n#leaderboard-v2-content > div:nth-child(4) {\n margin-top: 0 !important;\n margin-bottom: 0 !important;\n padding-top: 0 !important;\n padding-bottom: 0 !important;\n}\n\n#leaderboard-v2 .gradio-container,\n#leaderboard-v2-content .gradio-container {\n max-width: 1400px;\n margin: 0 auto;\n padding: var(--v2-spacing-xl);\n background: var(--v2-bg-secondary) !important;\n}\n\n/* Info Cards Section - Centered and Compact */\n.v2-info-cards-container {\n display: grid;\n grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));\n gap: 1rem;\n margin: 0.35rem auto 0.7rem auto;\n padding: 0;\n width: 100%;\n max-width: 100%;\n justify-items: stretch;\n}\n\n.v2-info-card {\n background: var(--v2-bg-card);\n border-radius: 12px;\n padding: 1.5rem 1.25rem;\n border: 1px solid var(--v2-border-primary);\n box-shadow: var(--v2-shadow-card);\n transition: all var(--v2-transition-base);\n position: relative;\n overflow: hidden;\n width: 100%;\n text-align: center;\n}\n\n/* Center single card in last row when it doesn't fill the row */\n.v2-info-cards-container:has(.v2-info-card:last-child:nth-child(odd)) {\n justify-content: center;\n}\n\n.v2-info-cards-container:has(.v2-info-card:last-child:nth-child(odd)) .v2-info-card:last-child {\n max-width: 400px;\n margin-left: auto;\n margin-right: auto;\n}\n\n@media (prefers-color-scheme: dark) {\n .v2-info-card {\n border: 1px solid rgba(255, 255, 255, 0.1) !important;\n box-shadow: var(--v2-shadow-card), 0 0 0 1px rgba(255, 255, 255, 0.05) !important;\n }\n}\n\n.v2-info-card:hover {\n transform: translateY(-6px) scale(1.02);\n box-shadow: 0 12px 32px rgba(227, 84, 84, 0.15), 0 0 20px rgba(227, 84, 84, 0.1) !important;\n border-color: rgba(227, 84, 84, 0.3) !important;\n}\n\n.v2-info-card:active {\n transform: translateY(-4px) scale(1.01);\n box-shadow: 0 8px 24px rgba(227, 84, 84, 0.2), 0 0 15px rgba(227, 84, 84, 0.15);\n}\n\n.v2-info-card::before {\n content: '';\n position: absolute;\n top: 0;\n left: 0;\n right: 0;\n height: 4px;\n background: linear-gradient(90deg, var(--v2-accent-primary), var(--v2-accent-secondary));\n opacity: 0;\n transition: opacity var(--v2-transition-base);\n}\n\n.v2-info-card:hover::before {\n opacity: 1;\n}\n\n.v2-card-icon {\n font-size: 2rem;\n margin-bottom: 0.75rem;\n display: block;\n}\n\n.v2-card-title {\n font-size: 1.0625rem;\n font-weight: 600;\n color: var(--v2-text-primary);\n margin-bottom: 0.5rem;\n font-family: var(--v2-font-family);\n}\n\n.v2-card-description {\n font-size: 0.875rem;\n color: var(--v2-text-secondary);\n line-height: 1.5;\n font-family: var(--v2-font-family);\n}\n\n/* Resource Pills - Centered */\n.v2-resource-pills {\n display: flex;\n flex-wrap: wrap;\n gap: 0.75rem;\n margin: 0.5rem auto 0.35rem auto;\n padding: 0;\n justify-content: center;\n max-width: 800px;\n}\n\n.v2-resource-pill {\n display: inline-flex;\n align-items: center;\n gap: 0.5rem;\n padding: 0.75rem 1.5rem;\n background: var(--v2-bg-card);\n border: 1px solid var(--v2-border-primary);\n border-radius: 1rem;\n color: var(--v2-text-primary);\n text-decoration: none;\n font-size: 0.9375rem;\n font-weight: 500;\n font-family: var(--v2-font-family);\n box-shadow: var(--v2-shadow-sm);\n transition: all var(--v2-transition-base);\n cursor: pointer;\n}\n\n.v2-resource-pill:hover {\n transform: translateY(-3px) scale(1.05);\n box-shadow: 0 8px 24px rgba(227, 84, 84, 0.15), 0 0 20px rgba(227, 84, 84, 0.12) !important;\n border-color: rgba(227, 84, 84, 0.3) !important;\n color: var(--v2-accent-primary);\n}\n\n.v2-resource-pill:active {\n transform: translateY(-1px) scale(1.02);\n box-shadow: 0 4px 12px rgba(227, 84, 84, 0.15);\n}\n\n.v2-section-divider {\n width: 100%;\n height: 1px;\n background: var(--v2-border-primary);\n margin: 0.7rem 0 0.35rem 0;\n}\n\n/* Enhanced Typography for v2 */\n#leaderboard-v2 .markdown-text,\n#leaderboard-v2-content .markdown-text {\n font-size: var(--v2-font-size-base) !important;\n color: var(--v2-text-secondary) !important;\n line-height: 1.6 !important;\n margin-bottom: var(--v2-spacing-md) !important;\n font-family: var(--v2-font-family) !important;\n}\n\n/* Compact Filters for v2 - sleek galileo v2 style */\n#leaderboard-v2-content input[type=\"text\"],\n#leaderboard-v2-content .svelte-1gfkn6j {\n border-radius: var(--v2-radius-md) !important;\n border: 1px solid var(--v2-border-primary) !important;\n background: var(--v2-bg-card) !important;\n color: var(--v2-text-primary) !important;\n padding: 0.5rem 1rem !important;\n font-size: var(--v2-font-size-sm) !important;\n transition: all var(--v2-transition-fast) !important;\n}\n\n/* Ensure search and filter row alignment is consistent */\n#leaderboard-v2-content .gr-row:has(input[type=\"text\"][placeholder*=\"Search\"]) {\n align-items: center !important;\n gap: 1rem !important;\n display: flex !important;\n}\n\n/* Align Accordion in filter row with search bar */\n#leaderboard-v2-content .gr-row:has(input[type=\"text\"][placeholder*=\"Search\"]) .gr-accordion {\n flex: 1;\n min-width: 280px;\n}\n\n/* Make Benchmark Information accordion title italic */\n#leaderboard-v2-content .markdown-text > button,\n#leaderboard-v2-content .markdown-text > div > button {\n font-style: italic !important;\n}\n\n/* Ensure search bar and accordion are same height when aligned */\n#leaderboard-v2-content .gr-row:has(input[type=\"text\"][placeholder*=\"Search\"]) input[type=\"text\"] {\n height: 100% !important;\n}\n\n#leaderboard-v2-content input[type=\"text\"]:focus {\n outline: none !important;\n border-color: var(--v2-accent-primary) !important;\n box-shadow: 0 0 0 3px rgba(227, 84, 84, 0.1) !important;\n}\n\n/* Compact Checkbox Group */\n#leaderboard-v2-content .gr-check-radio-group {\n gap: 0.5rem !important;\n}\n\n#leaderboard-v2-content .gr-check-radio-group label {\n font-size: var(--v2-font-size-sm) !important;\n padding: 0.375rem 0.75rem !important;\n border-radius: var(--v2-radius-md) !important;\n background: var(--v2-bg-card) !important;\n border: 1px solid var(--v2-border-primary) !important;\n color: var(--v2-text-primary) !important;\n}\n\n/* Style Radio component as pill buttons */\n#v2-category-selector {\n margin-bottom: 1.5rem !important;\n background: var(--v2-bg-secondary) !important;\n}\n\n#v2-category-selector .wrap,\n#v2-category-selector fieldset {\n display: flex !important;\n flex-wrap: wrap !important;\n gap: 0.75rem !important;\n padding: 1rem 0 !important;\n background: var(--v2-bg-secondary) !important;\n border: none !important;\n justify-content: center !important;\n}\n\n/* Ensure the area around category selector has uniform background */\n#leaderboard-v2-content .gradio-container > div:has(#v2-category-selector),\n#leaderboard-v2-content > div:has(#v2-category-selector) {\n background: var(--v2-bg-secondary) !important;\n}\n\n/* Ensure all Radio component wrappers use uniform background */\n#leaderboard-v2-content .gr-radio-group,\n#leaderboard-v2-content .gr-radio-group > div,\n#leaderboard-v2-content .gr-radio-group fieldset {\n background: var(--v2-bg-secondary) !important;\n}\n\n#v2-category-selector > label {\n display: none !important;\n}\n\n#v2-category-selector input[type=\"radio\"] {\n position: absolute !important;\n opacity: 0 !important;\n pointer-events: none !important;\n}\n\n/* Unselected pill buttons - Match resource pill style */\n#v2-category-selector label.svelte-1gfkn6j,\n#v2-category-selector .wrap > label,\n#v2-category-selector fieldset > label {\n display: inline-flex !important;\n font-size: 0.9375rem !important;\n font-weight: 500 !important;\n padding: 0.75rem 1.5rem !important;\n border-radius: 1rem !important;\n color: var(--v2-text-primary) !important;\n background: var(--v2-bg-card) !important;\n border: 1px solid var(--v2-border-primary) !important;\n transition: transform var(--v2-transition-base), box-shadow var(--v2-transition-base), border-color var(--v2-transition-base), color var(--v2-transition-base) !important;\n cursor: pointer !important;\n white-space: nowrap !important;\n box-shadow: var(--v2-shadow-sm) !important;\n font-family: var(--v2-font-family) !important;\n align-items: center !important;\n gap: 0.5rem !important;\n user-select: none !important;\n margin: 0 !important;\n}\n\n@media (prefers-color-scheme: dark) {\n /* Enhance unselected category selector pills visibility in dark mode (non-hover state only) */\n #v2-category-selector label.svelte-1gfkn6j:not(.v2-selected-pill):not([data-selected=\"true\"]):not([aria-checked=\"true\"]):not(:hover),\n #v2-category-selector .wrap > label:not(.v2-selected-pill):not([data-selected=\"true\"]):not([aria-checked=\"true\"]):not(:hover),\n #v2-category-selector fieldset > label:not(.v2-selected-pill):not([data-selected=\"true\"]):not([aria-checked=\"true\"]):not(:hover) {\n border: 1px solid rgba(255, 255, 255, 0.1) !important;\n box-shadow: var(--v2-shadow-sm), 0 0 0 1px rgba(255, 255, 255, 0.05) !important;\n }\n \n /* Dark mode hover - ensure hover shadow overrides dark mode styles */\n #v2-category-selector label:hover,\n .v2-radio-pills label:hover,\n #v2-category-selector .wrap > label:hover,\n #v2-category-selector fieldset > label:hover,\n #v2-category-selector label.svelte-1gfkn6j:hover,\n .v2-radio-pills label.svelte-1gfkn6j:hover {\n box-shadow: 0 12px 32px rgba(227, 84, 84, 0.15), 0 0 20px rgba(227, 84, 84, 0.1) !important;\n }\n}\n\n/* Hover effect for unselected pills - match info card hover shadow */\n/* Apply to all labels in category selector, then selected states will override */\n#v2-category-selector label:hover,\n.v2-radio-pills label:hover,\n#v2-category-selector .wrap > label:hover,\n#v2-category-selector fieldset > label:hover,\n#v2-category-selector label.svelte-1gfkn6j:hover,\n.v2-radio-pills label.svelte-1gfkn6j:hover {\n transform: translateY(-3px) scale(1.05) !important;\n box-shadow: 0 12px 32px rgba(227, 84, 84, 0.15), 0 0 20px rgba(227, 84, 84, 0.1) !important;\n border-color: rgba(227, 84, 84, 0.3) !important;\n color: var(--v2-accent-primary) !important;\n}\n\n/* Selected (checked) pill button - highlighted with gradient (always white text) */\n#v2-category-selector input[type=\"radio\"]:checked + label,\n#v2-category-selector label.selected,\n#v2-category-selector label[data-testid*=\"selected\"],\n#v2-category-selector .wrap > label:has(input:checked),\n#v2-category-selector fieldset > label:has(input:checked) {\n color: white !important;\n background: linear-gradient(135deg, #e35454, #f97316) !important;\n border: 1px solid transparent !important;\n font-weight: 600 !important;\n box-shadow: 0 4px 16px rgba(227, 84, 84, 0.25), 0 0 24px rgba(227, 84, 84, 0.15) !important;\n}\n\n/* Hover effect for selected pill - match info card hover shadow */\n#v2-category-selector input[type=\"radio\"]:checked + label:hover,\n#v2-category-selector label.selected:hover,\n#v2-category-selector .wrap > label:has(input:checked):hover,\n#v2-category-selector fieldset > label:has(input:checked):hover {\n background: linear-gradient(135deg, #f97316, #e35454) !important;\n box-shadow: 0 12px 32px rgba(227, 84, 84, 0.15), 0 0 20px rgba(227, 84, 84, 0.1) !important;\n transform: translateY(-3px) scale(1.05) !important;\n}\n\n/* Alternative selectors for JavaScript-controlled states */\n#v2-category-selector label[aria-checked=\"true\"],\n#v2-category-selector label.v2-selected-pill,\n#v2-category-selector label[data-selected=\"true\"] {\n color: white !important;\n background: linear-gradient(135deg, #e35454, #f97316) !important;\n border: 1px solid transparent !important;\n font-weight: 600 !important;\n box-shadow: 0 4px 16px rgba(227, 84, 84, 0.25), 0 0 24px rgba(227, 84, 84, 0.15) !important;\n}\n\n#v2-category-selector label.v2-selected-pill:hover,\n#v2-category-selector label[data-selected=\"true\"]:hover {\n background: linear-gradient(135deg, #f97316, #e35454) !important;\n box-shadow: 0 12px 32px rgba(227, 84, 84, 0.15), 0 0 20px rgba(227, 84, 84, 0.1) !important;\n transform: translateY(-3px) scale(1.05) !important;\n}\n\n/* Force About and Submit buttons to appear on a separate line */\n#v2-category-selector .wrap::before,\n#v2-category-selector fieldset::before {\n content: '';\n width: 100%;\n order: 100;\n}\n\n/* Target the About and Submit here labels to appear after the line break */\n#v2-category-selector label:nth-last-child(-n+2),\n#v2-category-selector .wrap > label:nth-last-child(-n+2),\n#v2-category-selector fieldset > label:nth-last-child(-n+2) {\n order: 101;\n}\n\n/* Hide ONLY the main category tab navigation (not sub-tabs!) */\n#leaderboard-v2-content > .gradio-tabs > nav,\n#leaderboard-v2-content > div > .gradio-tabs > nav {\n display: none !important;\n}\n\n/* DO NOT hide sub-tab navigations - they should be visible */\n#leaderboard-v2-content .tab-buttons2 nav,\n#leaderboard-v2-content .tab-buttons6 nav {\n display: flex !important;\n visibility: visible !important;\n margin-bottom: 1rem !important;\n}\n\n/* Sub-tabs container - normalize spacing */\n#leaderboard-v2-content .tab-buttons2,\n#leaderboard-v2-content .tab-buttons6 {\n margin-top: 0 !important;\n margin-bottom: 1rem !important;\n}\n\n/* Sub-tab buttons styling - rounded and modern with visible text using CSS variables */\n#leaderboard-v2-content .tab-buttons2 button,\n#leaderboard-v2-content .tab-buttons6 button {\n border-radius: 0.75rem !important;\n padding: 0.625rem 1.25rem !important;\n transition: all 0.25s ease !important;\n color: var(--v2-text-primary) !important;\n background: transparent !important;\n font-weight: 500 !important;\n font-size: 1.0rem !important;\n}\n\n/* Ensure unselected sub-tab buttons are visible */\n#leaderboard-v2-content .tab-buttons2 button:not(.selected),\n#leaderboard-v2-content .tab-buttons6 button:not(.selected) {\n color: var(--v2-text-primary) !important;\n}\n\n#leaderboard-v2-content .tab-buttons2 button:hover,\n#leaderboard-v2-content .tab-buttons6 button:hover {\n transform: translateY(-2px) !important;\n box-shadow: 0 4px 12px rgba(227, 84, 84, 0.1) !important;\n color: #e35454 !important;\n}\n\n#leaderboard-v2-content .tab-buttons2 button.selected,\n#leaderboard-v2-content .tab-buttons6 button.selected {\n box-shadow: 0 4px 12px rgba(227, 84, 84, 0.15) !important;\n color: #e35454 !important;\n font-weight: 600 !important;\n background: rgba(227, 84, 84, 0.1) !important;\n}\n\n@media (prefers-color-scheme: dark) {\n #leaderboard-v2-content .tab-buttons2 button.selected,\n #leaderboard-v2-content .tab-buttons6 button.selected {\n background: rgba(227, 84, 84, 0.15) !important;\n }\n}\n\n/* Ensure consistent spacing for search/filter row regardless of sub-tabs */\n#leaderboard-v2-content .tab-buttons2 + div > div:first-child,\n#leaderboard-v2-content .tab-buttons6 + div > div:first-child {\n margin-top: 0 !important;\n}\n\n/* For categories without sub-tabs, add equivalent top spacing */\n#leaderboard-v2-content > div > div > div:first-child:not(.tab-buttons2):not(.tab-buttons6) {\n margin-top: 1rem !important;\n}\n\n/* Hide main category tab buttons visually but keep them functional */\n#leaderboard-v2-content > .gradio-tabs > nav button[role=\"tab\"],\n#leaderboard-v2-content > div > .gradio-tabs > nav button[role=\"tab\"] {\n position: absolute !important;\n left: -9999px !important;\n opacity: 0 !important;\n pointer-events: none !important;\n}\n\n/* Ensure v2 tables properly respect color scheme */\n#leaderboard-v2-content .v2-table-container {\n background: var(--v2-bg-card) !important;\n}\n\n#leaderboard-v2-content .v2-styled-table {\n background: var(--v2-bg-card) !important;\n color: var(--v2-text-primary) !important;\n}\n\n#leaderboard-v2-content .v2-styled-table thead {\n background: var(--v2-bg-card) !important;\n}\n\n#leaderboard-v2-content .v2-styled-table th {\n color: var(--v2-text-primary) !important;\n border-bottom-color: var(--v2-border-primary) !important;\n}\n\n#leaderboard-v2-content .v2-styled-table td {\n color: var(--v2-text-primary) !important;\n border-bottom-color: var(--v2-border-primary) !important;\n}\n\n#leaderboard-v2-content .v2-styled-table tbody tr {\n background: var(--v2-bg-card) !important;\n}\n\n#leaderboard-v2-content .v2-styled-table tbody tr:hover {\n background: var(--v2-bg-hover) !important;\n}\n\n/* Top-N plotly figure (first element under each v2 leaderboard tab) */\n.v2-topchart {\n background: var(--v2-bg-card);\n border: 1px solid var(--v2-border-primary);\n border-radius: 12px;\n box-shadow: var(--v2-shadow-card);\n padding: 0.75rem 0.75rem 0.25rem 0.75rem;\n /* centered card with a square-ish aspect, not a full-width banner */\n margin: 0.75rem auto 0.35rem auto;\n font-family: var(--v2-font-family);\n}\n\n.v2-topchart-grouped {\n max-width: 920px;\n}\n\n.v2-topchart-single {\n max-width: 720px;\n}\n\n@media (prefers-color-scheme: dark) {\n .v2-topchart {\n border: 1px solid rgba(255, 255, 255, 0.1) !important;\n box-shadow: var(--v2-shadow-card), 0 0 0 1px rgba(255, 255, 255, 0.05) !important;\n }\n}\n\n/*\n * Plotly inlines its colors, so dark mode re-inks the figure through the\n * cascade: gradio puts .dark on for its dark theme (including\n * ?__theme=dark on the Space), and the media query below covers system-level\n * dark mode. !important is needed to beat plotly's inline styles; the\n * hoverlayer rule is more specific so tooltips keep dark-on-light text.\n * Grouped-bar figures keep their own palette - it is validated for the dark\n * card surface too - so only the single-series accent green is re-inked.\n */\n.dark .v2-topchart .main-svg text {\n fill: #e2e8f0 !important;\n}\n\n.dark .v2-topchart-single .trace.bars path {\n fill: #3ecf9a !important;\n}\n\n.dark .v2-topchart .modebar path,\n.dark .v2-topchart .modebar rect {\n fill: #cbd5e1 !important;\n}\n\n.dark .v2-topchart .hoverlayer text {\n fill: #0f172a !important;\n}\n\n@media (prefers-color-scheme: dark) {\n .v2-topchart .main-svg text {\n fill: #e2e8f0 !important;\n }\n\n .v2-topchart-single .trace.bars path {\n fill: #3ecf9a !important;\n }\n\n .v2-topchart .modebar path,\n .v2-topchart .modebar rect {\n fill: #cbd5e1 !important;\n }\n\n .v2-topchart .hoverlayer text {\n fill: #0f172a !important;\n 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