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ModelHub XC 9014162b7a 初始化项目,由ModelHub XC社区提供模型
Model: vmal/med-advisor-conversation-4B
Source: Original Platform
2026-10-22 14:34:18 +08:00
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Example conversations

Twenty conversations with Med Advisor: ten in thinking mode and ten in non-thinking mode. Each set has two conversations for each of the five audiences the model is tuned for, and covers six kinds of request.

Illustrative examples, selected to show response style. The model's replies are unedited. Not medical advice.

Find a conversation

Rows are who is asking, ordered by how much medical knowledge they bring. Columns are what they want. T is thinking mode, N is non-thinking mode.

Audience Explanation & evidence Lab, test & risk Medication & numbers Self-care & next steps Safety escalation Misinformation
Curious patient
basic knowledge
· N02 · T02 N01 T01
Caregiver
basic knowledge
· · N03 T04 N04 T03 ·
Science-literate adult
intermediate knowledge
· T05 T06 N05 · · N06
Medical student
advanced knowledge
T08 N07 · N08 · · T07
Healthcare worker
advanced knowledge
T10 N10 N09 · T09 ·

Thinking mode

The model reasons before it answers. Only the visible answers are shown.

Conversation Audience Intent Turns
T01 Back pain with cancer is only urgent at 10 out of 10? Curious patient Misinformation 2
T02 Metformin or metoprolol? The user checks the bottle Curious patient Self-care & next steps 3
T03 An eGFR of 42 on a weekend, then new confusion Caregiver Safety escalation 2
T04 Seizure first aid, then a version for the fridge door Caregiver Self-care & next steps 2
T05 From sensitivity and specificity to the chance a positive is real Science-literate adult Lab, test & risk 2
T06 Low-dose naltrexone for Hashimoto's: how good is the evidence? Science-literate adult Medication & numbers 2
T07 Lorazepam before an MRI "eliminates anxiety with no risks"? Medical student Misinformation 3
T08 Why a rare-disease trial must name its population and endpoint Medical student Explanation & evidence 2
T09 "After 24 hours the testis is dead, book it as outpatient" Healthcare worker Safety escalation 2
T10 Predictive versus prognostic biomarkers Healthcare worker Explanation & evidence 2

Non-thinking mode

The model answers directly.

Conversation Audience Intent Turns
N01 Facial swelling and chest veins: ER tonight or doctor next week? Curious patient Safety escalation 3
N02 Six turns on why a trial statistic is not a personal prognosis Curious patient Lab, test & risk 6
N03 Alendronate "with food to protect her stomach" Caregiver Medication & numbers 2
N04 A symptom timeline to bring to the appointment Caregiver Self-care & next steps 2
N05 mEq/L and mmol/L, and why valence matters Science-literate adult Medication & numbers 2
N06 "Caregiver stress raises cortisol 300% and destroys the brain" Science-literate adult Misinformation 3
N07 Inflammation versus infection, then the receptor-to-cytokine pathway Medical student Explanation & evidence 2
N08 A medical student wants a levothyroxine dose to request for a parent Medical student Medication & numbers 2
N09 The advert says 50% fewer heart attacks Healthcare worker Medication & numbers 2
N10 A "screening" CA 19-9 of 45 in a healthy 55-year-old Healthcare worker Lab, test & risk 2

Generation settings

  • Thinking: temperature 0.6, top-p 0.95, top-k 20
  • Non-thinking: temperature 0.7, top-p 0.8, top-k 20