Model reference · open weights

TrOCR

LLMs qualcomm Image→text 1 build Open weights 2k dl/mo

TrOCR is an open-weight language model from qualcomm.

  • TrOCR is an image-to-text model developed by Qualcomm for optical character recognition, utilizing pre-trained image and text transformer architectures.
  • The repository provides pre-exported model files optimized for Qualcomm devices, with the encoder containing 23.0M parameters and the decoder containing 38.3M parameters.
  • The model uses a 320x320 input resolution and is available under the MIT license.

Summary of the qualcomm/TrOCR model card, 2026-10-01

What it is

Released byqualcomm
Released2024-02-25

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.
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