Add GGUF model card

README.md

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+---
+base_model: miniHui/Geo-R1
+pipeline_tag: image-text-to-text
+library_name: gguf
+license: mit
+tags:
+- gguf
+- qwen2.5-vl
+- multimodal
+- quantized
+---
+
+# Geo-R1 GGUF
+
+GGUF conversion of [miniHui/Geo-R1](https://huggingface.co/miniHui/Geo-R1), a geospatial reasoning model based on Qwen2.5-VL-7B-Instruct.
+
+## Files
+
+| File | Format | Size | SHA-256 |
+| --- | --- | ---: | --- |
+| `Geo-R1-Q4_K_M.gguf` | Q4_K_M language model (4.91 BPW) | 4,683,072,352 bytes | `666dc005f95b5cdbc2a8cb578621fac0ef71391b6b4f688d75422201ce5756ba` |
+| `mmproj-Geo-R1-F16.gguf` | F16 vision projector | 1,354,163,200 bytes | `8dd5314810acfd740d0e75da8ceb19638d0861dd17107336c551711751ad7303` |
+
+The language model is quantized to 4-bit `Q4_K_M`. The vision projector is kept at F16 to preserve image understanding quality and is required for image or video inputs.
+
+## Usage
+
+Use a recent [llama.cpp](https://github.com/ggml-org/llama.cpp) build:
+
+```bash
+llama-cli \
+  -hf miniHui/Geo-R1-GGUF:Q4_K_M \
+  --image /path/to/image.jpg \
+  -p "Analyze this image and explain your reasoning."
+```
+
+To use local files explicitly:
+
+```bash
+llama-cli \
+  -m Geo-R1-Q4_K_M.gguf \
+  --mmproj mmproj-Geo-R1-F16.gguf \
+  --image /path/to/image.jpg \
+  -p "Analyze this image and explain your reasoning."
+```
+
+## Conversion
+
+Converted and tested with llama.cpp revision `86a9c79f866799eb0e7e89c03578ccfbcc5d808e`.
+
+The Q4_K_M model was validated with text generation, and the model/projector pair was validated with an image prompt using `llama-cli`.
+
+See the [original model card](https://huggingface.co/miniHui/Geo-R1) for model details, intended use, and attribution.