surya-ocr-2
By datalab-to. 686 million parameters, a context window of 262,144 tokens and the licence openrail.
Facts
- Released
- 2026-05-14 the day the repository was first published on Hugging Face Hugging Face, read
- Licence
- openrail the licence the model card declares Hugging Face, read
- Open weights
- Yes the weights are published in this Hugging Face repository Hugging Face, read
- Parameters
- 686 million counted from the safetensors weight files Hugging Face, read
- Active parameters
- Unknown
- Knowledge cutoff
- Unknown
- Context window
- 262,144 tokens the maximum position embeddings in the model configuration model configuration, read
- Longest output
- Unknown
- Tool calling
- Unknown
- Structured output
- Unknown
- Reasoning controls
- Unknown
- Inputs and outputs
- text, image in, text out Hugging Face, read
- Good for
- Vision: Hugging Face files it under image-text-to-text Hugging Face, read
Prices
No source lists a price for this model. It may only run on your own hardware.
Run it on your own hardware
Weights are the sizes of the files a source lists, or an estimate from the parameter count where none does. Memory is an estimate: weights plus KV cache plus 512 MiB and 5 percent of the weights for runtime buffers. Check it against your hardware.
| Quantization | Weights | Memory at 8,192 tokens | Memory at 32,768 tokens |
|---|---|---|---|
| F16 estimate | 1.3 GiB | 1.9 GiB | 2.2 GiB |
| Q8_0 estimate | 0.7 GiB | 1.3 GiB | 1.6 GiB |
| Q4_0 estimate | 0.4 GiB | 1.0 GiB | 1.3 GiB |
Start it with a local runtime
Use it from your harness
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Published results
These are results other people published. Baltor did not run them and does not rank models by them.
- Results the maker published on the model card published by datalab-to Hugging Face, read
Sources of this page
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