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README.md

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+---
+license: mit
+base_model: rednote-hilab/dots.ocr
+tags:
+  - gguf
+  - ocr
+  - llama-cpp
+  - vision
+  - image-to-text
+language:
+  - en
+  - zh
+  - multilingual
+---
+
+# dots.ocr GGUF
+
+GGUF conversions of [rednote-hilab/dots.ocr](https://huggingface.co/rednote-hilab/dots.ocr) for use with [llama.cpp](https://github.com/ggml-org/llama.cpp).
+
+## Files
+
+| File | Size | Description |
+|---|---|---|
+| Dots.Ocr-1.8B-Q8_0.gguf | 1.8 GB | Text model, 8-bit quantized |
+| Dots.Ocr-1.8B-F16.gguf | 3.4 GB | Text model, float16 |
+| mmproj-Dots.Ocr-F16.gguf | 2.4 GB | Vision encoder (mmproj), float16 |
+
+## Architecture
+
+dots.ocr = Qwen2 text backbone (1.7B params, 28 layers) + modified Qwen2-VL vision encoder (1.2B params, 42 layers).
+
+Key differences from Qwen2-VL:
+- Text model is standard Qwen2 with 1D RoPE (not M-RoPE)
+- Vision uses RMSNorm, SiLU gated MLP, Conv2D patches, no attention bias
+- 2D M-RoPE internal to vision encoder only
+
+## Usage with llama.cpp
+
+
+
+> **Note:** Requires llama.cpp with dots.ocr support (pending upstream merge).