Dots.ocr GGUF

--- 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 | ## Update On March 23, 2026, `mmproj-Dots.Ocr-F16.gguf` was regenerated from a corrected DotsOCR converter. The text GGUF files did not change. If you downloaded the `mmproj` earlier, refresh that file. Current llama.cpp fork with DotsOCR support and the compatibility fix: - [anthony-maio/llama.cpp](https://github.com/anthony-maio/llama.cpp) ## 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 Requires a llama.cpp build with DotsOCR support. At the moment, use: - [anthony-maio/llama.cpp](https://github.com/anthony-maio/llama.cpp) Single-image example on Windows: ```powershell llama-mtmd-cli.exe ` -m .\Dots.Ocr-1.8B-Q8_0.gguf ` --mmproj .\mmproj-Dots.Ocr-F16.gguf ` --image .\page.png ` -p "Extract all text from this image and preserve structure in markdown." ` --ctx-size 131072 ` -n 4096 ` --temp 0 ` --jinja ``` Equivalent server launch: ```powershell llama-server.exe ` -m .\Dots.Ocr-1.8B-Q8_0.gguf ` --mmproj .\mmproj-Dots.Ocr-F16.gguf ` --port 8111 ` --host 0.0.0.0 ` --ctx-size 131072 ` -n 4096 ` --temp 0 ` --jinja ```

Source context: 234 downloads · 3 likes · Pipeline image-to-text · Repo anthonym21/dots.ocr-GGUF