NVIDIA
Qwen2.5-VL-7B-Surg-CholecT50 is a multimodal large language model fine-tuned on the CholecT50 dataset of laparoscopic cholecystectomy procedures to recognize and describe surgical actions, instruments, and targets in endoscopic video frames.
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34.2
Quality Score
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Arena ELO
8B
Parameters
8K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
17 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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496
Downloads
13
Likes
Oct 2025
Released
5/5 signals
3/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
8B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.