llama.cpp How to use Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 with llama.cpp:
Install (macOS, Linux) curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
# Run inference directly in the terminal:
llama cli -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 Install from WinGet (Windows) winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
# Run inference directly in the terminal:
llama cli -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 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 Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
# Run inference directly in the terminal:
./build/bin/llama cli -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 Use Docker docker model run hf.co/Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 
