How to use unsloth/Qwen2.5-Omni-7B-GGUF with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("unsloth/Qwen2.5-Omni-7B-GGUF") model = AutoModel.from_pretrained("unsloth/Qwen2.5-Omni-7B-GGUF", device_map="auto")
How to use unsloth/Qwen2.5-Omni-7B-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 unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL
# 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 unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL
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 unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL
docker model run hf.co/unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL
How to use unsloth/Qwen2.5-Omni-7B-GGUF with Ollama:
ollama run hf.co/unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL
How to use unsloth/Qwen2.5-Omni-7B-GGUF with Docker Model Runner:
How to use unsloth/Qwen2.5-Omni-7B-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unsloth/Qwen2.5-Omni-7B-GGUF:UD-Q4_K_XL
lemonade run user.Qwen2.5-Omni-7B-GGUF-UD-Q4_K_XL
lemonade list
Kjppmp 
abhijithmallya 
immortal886