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Model reference · open weights

crnn-fa-license-plate-recognition

LLMs hezarai Image→text 1 build Licence not stated 3k dl/mo

crnn-fa-license-plate-recognition is an open-weight language model from hezarai. crnn-fa-license-plate-recognition-v2 (BF16) weighs 37 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • crnn-fa-license-plate-recognition is an image-to-text OCR model developed by hezarai for recognizing Persian license plates.
  • It is a finetuned version of the crnn-fa-printed-96-long model trained on the Persian license plate dataset v1.
  • The model requires a cropped image of a plate as input and supports only the Persian language.

Summary of the hezarai/crnn-fa-license-plate-recognition-v2 model card, 2026-10-01

Hugging Face ↗

What it is

Released byhezarai
Released2024-06-09
VRAM37 MB for the weights

What it runs on

Memory and cards for crnn-fa-license-plate-recognition-v2 (BF16)

37 MBweights, file size
762 MBruntime overhead, at least

How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.

CardWeights alone
RTX 3060 12 GBfits
RTX 4060 Ti 16 GBfits
RTX 3090 24 GBfits
RTX 4090 24 GBfits
RTX 5090 32 GBfits
L40S 48 GBfits
A100 80 GBfits
H100 80 GBfits
RTX PRO 6000 Blackwell 96 GBfits
DGX Spark (GB10) 128 GB unifiedfits
H200 141 GBfits
B200 180 GBfits

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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