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36.4
TFLOPS
Mert รzkan
47Hunter47
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ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF
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DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU:
There has always been a problem with prematurely stopping the output.
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๐น๐ท **A 1B Turkish OCR model vs. Baidu OCR.** We ran both models on the **same Turkish enterprise documents**. The result: **Werea-DocOCR-1B โ 99.9** **Baidu Unlimited-OCR โ 47.9** Same documents. Same evaluation. And Werea-DocOCR is only **1B parameters**. It was built specifically for difficult Turkish enterprise documents: ๐ invoices ๐ contracts ๐ฆ bank receipts ๐ผ payroll ๐ vehicle documents ๐ SGK-style tables ๐ฑ scanned & phone-captured documents But benchmarks aren't enough. **Give me a Turkish document that you think will break it.** We'll test the hardest ones and publish the failures. ๐ค Model: https://huggingface.co/Werea-co/Werea-DocOCR-1B ๐ Dataset: https://huggingface.co/datasets/Werea-co/werea-tr-doc-ocr-enterprise-v2 ๐น๐ท Built in Tรผrkiye. Open on Hugging Face. #OCR #DocumentAI #HuggingFace #TurkishAI
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