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Qwen2.5 VL 7B Instruct Q4 0 GGUF

This model was converted to GGUF format from Qwen/Qwen2.5-VL-7B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

KindModelBase modelQwen/Qwen2.5-VL-7B-InstructVersionQwen2.5 vl 7b instruct q4 0

Model source

Kind
Model
File size
4.13 GB
Base model
Qwen/Qwen2.5-VL-7B-Instruct
Version
vQwen2.5 vl 7b instruct q4 0
Updated
Oct 16, 2026
Source
Hugging Face

Source description

maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF

This model was converted to GGUF format from Qwen/Qwen2.5-VL-7B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF --hf-file qwen2.5-vl-7b-instruct-q4_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF --hf-file qwen2.5-vl-7b-instruct-q4_0.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF --hf-file qwen2.5-vl-7b-instruct-q4_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF --hf-file qwen2.5-vl-7b-instruct-q4_0.gguf -c 2048

Sources

1 source
Hugging FacePrimaryVersion bc670d7b0c3acebbe2599f3ba9220f42f489b36b
huggingface.co/maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF/tree/bc670d7b0c3acebbe2599f3ba9220f42f489b36b

Verified Oct 16

Model artifacts

1 artifact

qwen2.5-vl-7b-instruct-q4_0.gguf

gguf · 4.13 GB · SHA-256 16692b90b1c1…4caa · Hugging Face

Download

Source excerpts

2 excerpts

--- license: apache-2.0 language: - en pipeline_tag: image-text-to-text tags: - multimodal - llama-cpp - gguf-my-repo library_name: transformers base_model: Qwen/Qwen2.5-VL-7B-Instruct --- # maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF This model was converted to GGUF format from [`Qwen/Qwen2.5-VL-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF --hf-file qwen2.5-vl-7b-instruct-q4_0.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF --hf-file qwen2.5-vl-7b-instruct-q4_0.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF --hf-file qwen2.5-vl-7b-instruct-q4_0.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF --hf-file qwen2.5-vl-7b-instruct-q4_0.gguf -c 2048 ```

Source context: 98 downloads · 0 likes · Pipeline image-text-to-text · Library transformers · Repo maxwellwwy/Qwen2.5-VL-7B-Instruct-Q4_0-GGUF