File size: 1,683 Bytes
fae34ec 41d6771 e138434 fae34ec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | ---
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
**This repo is proudly made by TerraByte AI.**
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. |