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