Downloads · 30 days
125
14% of all-time downloads
sidrajaram/Qwen2-VL-2B-Instruct-GGUF
Qwen2-VL-2B-Instruct-GGUF is a image-text-to-text model from sidrajaram. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is a F16 GGUF version of Qwen2-VL-2B-Instruct for use with llama.cpp (i.e. you can run Qwen2-VL on your Mac)
Downloads · 30 days
125
14% of all-time downloads
All-time downloads
868
Public
Repo size
5.8 GB
Likes
1
Public
Click a slice to open those files.
.gguf5.8 GB · 100%
From the Hugging Face model README
This is a F16 GGUF version of Qwen2-VL-2B-Instruct for use with llama.cpp (i.e. you can run Qwen2-VL on your Mac)
llama-qwen2vl-cli executable./llama-qwen2vl-cli -m Qwen2-VL-2B-Instruct-F16.gguf --mmproj qwen2-vl-2b-instruct-vision.gguf -p "Describe this image." --image crocodiles.pngDownload the model files from this repository (sidrajaram/Qwen2-VL-2B-Instruct-GGUF).
Make sure you have llama.cpp and have built the llama-qwen2vl-cli executable.
git clone https://github.com/ggerganov/llama.cpp.git
For example, building with CMake (see detailed llama.cpp build instructions: https://github.com/ggerganov/llama.cpp/blob/master/docs/build.md):
cmake -B build
cmake --build build --config Release
./path/to/llama-qwen2vl-cli -m path/to/Qwen2-VL-2B-Instruct-F16.gguf --mmproj path/to/qwen2-vl-2b-instruct-vision.gguf -p "Describe this image." --image path/to/image.png
Note: According to llama.cpp contributors, "it's recommended to resize the image to a resolution below 640x640, so it won't take forever to run on CPU backend"
Credit to the original model: https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct