yolov12n-qat
This repository contains a quantized model artifact produced in the graduation project.
Model Details
- Technique: QAT
- Quantization: QAT Fine-tuned
- Base model: ultralytics/yolo12n
- Export date: 2026-03-24
Benchmark Summary
| Metric | Original | Quantized |
|---|
| Model size (MB) | N/A | 5.26 |
| Latency mean (ms) | N/A | 15.60 |
| FPS | N/A | 64.12 |
| ONNX latency mean (ms) | N/A | 14.75 |
Comparison Highlights
- Speedup: N/Ax
- Memory reduction: N/A%
- Disk/model size reduction: N/A%
Benchmark Notes
- Numbers below are copied from local benchmark_results JSON in this project.
Local Source
- Quantized folder: Basic-Techniques/QAT-Quantization-Aware-Training/quantized/yolov12n_qat
- Benchmark JSON: Basic-Techniques/QAT-Quantization-Aware-Training/benchmark_results/qat_benchmark_results.json
Usage
Use the model with the library and runtime that match the quantization technique in this repo.
Limitations
- This model card is auto-generated from project files.
- You should validate quality, safety, and license compatibility before public release.
