Multimodal GGUFs
Collection
Vision and audio models compatible with llama-server and llama-mtmd-cli โข 16 items โข Updated โข 21
How to use ggml-org/Qwen2.5-Omni-3B-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M
docker model run hf.co/ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M
How to use ggml-org/Qwen2.5-Omni-3B-GGUF with Ollama:
ollama run hf.co/ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M
How to use ggml-org/Qwen2.5-Omni-3B-GGUF with Docker Model Runner:
docker model run hf.co/ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M
How to use ggml-org/Qwen2.5-Omni-3B-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ggml-org/Qwen2.5-Omni-3B-GGUF:Q4_K_M
lemonade run user.Qwen2.5-Omni-3B-GGUF-Q4_K_M
lemonade list
Original model: https://huggingface.co/Qwen/Qwen2.5-Omni-3B
Modalities:
4-bit
8-bit
16-bit
Base model
Qwen/Qwen2.5-Omni-3B
ollama run hf.co/ggml-org/Qwen2.5-Omni-3B-GGUF: