Upload Qwen2-VL-2B-Instruct-F16.gguf

https://github.com/ggerganov/llama.cpp/issues/9246

thanks! : https://github.com/HimariO

clone https://github.com/HimariO/llama.cpp/tree/qwen2-vl
1 Download the official `Qwen/Qwen2-VL-2B-Instruct ` checkpoint, then convert the LLM part of the model to GGUF format using `convert_hf_to_gguf.py`:
```
python3 convert_hf_to_gguf.py "/path/to/Qwen2-VL-2B-Instruct/model-dir"
```
2 Convert the vision encoder to GGUF format with qwen2_vl_surgery.py:
```
PYTHONPATH=$PYTHONPATH:$(pwd)/gguf-py python3 examples/llava/qwen2_vl_surgery.py "/path/to/Qwen2-VL-2B-Instruct/model-dir"
```
3 Build the llama-qwen2vl-cli in the same way you would build llama-llava-cli

4 Run the command: (It's recommended to resize the image to a resolution below 640x640, so it won't take forever to run on CPU backend):
```
./llama-qwen2vl-cli -m qwen2-vl-decoder.gguf --mmproj qwen2vl-vision.gguf -p "Describe this image." --image "demo.jpg"
```

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Qwen2-VL-2B-Instruct-F16.gguf filter=lfs diff=lfs merge=lfs -text

Qwen2-VL-2B-Instruct-F16.gguf

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