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PP-OCRv6_small_det_safetensors

LLMs PaddlePaddle Image→text 1 build Open weights 606 dl/mo

PP-OCRv6_small_det_safetensors is an open-weight language model from Baidu. PP-OCRv6_small_det_safetensors (FP32) weighs 5 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • PP-OCRv6_small_det is a lightweight text detection model developed by Baidu for the PaddleOCR system.
  • It uses the LCNetV4 backbone and RepLKFPN feature pyramid neck to localize text in diverse scenarios, including handwritten, printed, and artistic text.
  • The model contains 2.48M parameters, supports 48 languages, and is released under the Apache-2.0 license.

Summary of the PaddlePaddle/PP-OCRv6_small_det_safetensors model card, 2026-10-01

Hugging Face ↗Paper ↗

What it is

Released byBaidu
Released2026-06-09
Parameters2M
VRAM5 MB for the weights

What it runs on

Memory and cards for PP-OCRv6_small_det_safetensors (FP32)

5 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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