Qwen2.5 VL 7B Surg CholecT50

21
7
7.0B
1 language
FP32
—
by
nvidia
Image Model
OTHER
7B params
New
21 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary

Description: Qwen2.5-VL-7B-Surg-CholecT50 is a multimodal large language model fine-tuned on the CholecT50 dataset of laparoscopic cholecystectomy procedures to...

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by Qwen2.5 VL 7B Surg CholecT50 with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

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