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robotcpp
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starvla-qwen25-groot-bridge-bf16

GGUF
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How to use from
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 robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
# Run inference directly in the terminal:
llama cli -hf robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
# Run inference directly in the terminal:
llama cli -hf robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
Use pre-built binary 
# 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 robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
# Run inference directly in the terminal:
./llama-cli -hf robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
Build from source code 
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 robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
Use Docker 
docker model run hf.co/robotcpp/starvla-qwen25-groot-bridge-bf16:BF16
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Model size
3B params
Architecture
qwen2vl
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