File size: 1,002 Bytes
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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
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