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The following file contains all models that have been confirmed to be functional and tested for the Arm backend:

Note: Deep AutoEncoder requires manual Linear+BatchNorm1d fusion as the quantizer does not yet support this pattern.

Note: DS CNN requires AvgPool2d workaround for Ethos-U55 due to stride > 3 limitation.

  • Conformer
  • Deep AutoEncoder
  • Deit Tiny
  • DeepLab v3 (DL3)
  • DS CNN
  • Inception v3 (IC3)
  • Llama
  • Gemma3n
  • Long Short-Term Memory (LSTM)
  • MobileNet V1 0.25
  • MobileNet v2 (MV2)
  • MobileNet v3 (MV3)
  • Some popular torch.nn.functional models (NN functional)
  • Some popular torch.nn.modules models (NN modules)
  • Some popular torch ops (Torch Functions)
  • T5 (T5 for conditional generation)
  • Neural Super Sampler (NSS)
  • Phi-3
  • ResNet 18
  • ResNet-8
  • Wav2Letter (W2L)
  • Stable Diffusion:
    • CLIP Text Encoder (CLIP Text with Projection)
    • Stable Diffusion 3 Transformer (SD3 Transformer)
    • T5 Encoder
    • VAE Encoder/Decoder (VAE)