| schema_version: 1.0.0 | |
| report_type: vision-classification | |
| task_type: image-classification | |
| title: DeiT-Tiny INT8 | |
| description: >- | |
| An INT8-quantized tiny Vision Transformer for 1,000-class image classification, using SmoothQuant to | |
| reduce model size while preserving accuracy. It processes 224×224 RGB images with ImageNet-style | |
| normalization and outputs class logits for top-k prediction, making it suitable for efficient edge | |
| AI vision workloads. | |
| id: Arm/deit-tiny-int8-ethos-u-executorch | |
| filename: deit-tiny_ethos_ethosu_optimized.pte | |
| base_model_id: facebook/deit-tiny-patch16-224 | |
| vendor: Meta | |
| base_model_url: https://huggingface.co/facebook/deit-tiny-patch16-224 | |
| profile: Arm-Optimized | |
| optimization: | |
| optimized_by: Arm | |
| weight_dtype: int8 | |
| quantization: | |
| method: PTQ-static | |
| weight_bits: 8 | |
| activation_bits: 8 | |
| symmetric: true | |
| mode: static | |
| weight_granularity: per-tensor | |
| calibration: | |
| dataset_name: ImageNet-1k | |
| sample_count: 2000 | |
| selection: random | |
| model_size_mb: 4.707 | |
| format: pte | |