Multimodal GGUFs
Collection
Vision and audio models compatible with llama-server and llama-mtmd-cli • 16 items • Updated • 22
How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ggml-org/Qwen2.5-Omni-3B-GGUF:# Run inference directly in the terminal:
llama cli -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Build from source code
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf ggml-org/Qwen2.5-Omni-3B-GGUF:# Run inference directly in the terminal:
./build/bin/llama cli -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Use Docker
docker model run hf.co/ggml-org/Qwen2.5-Omni-3B-GGUF:Quick Links
Qwen2.5-Omni-3B-GGUF
Original model: https://huggingface.co/Qwen/Qwen2.5-Omni-3B
Modalities:
- ✅ Text input
- ✅ Audio input
- ✅ Image input
- ❌ Video input
- ❌ Audio generation
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Model tree for ggml-org/Qwen2.5-Omni-3B-GGUF
Base model
Qwen/Qwen2.5-Omni-3B
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf ggml-org/Qwen2.5-Omni-3B-GGUF:# Run inference directly in the terminal: llama cli -hf ggml-org/Qwen2.5-Omni-3B-GGUF: