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 AI-Engine/gemma-2-27b-it-GGUF:# Run inference directly in the terminal:
llama cli -hf AI-Engine/gemma-2-27b-it-GGUF: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 AI-Engine/gemma-2-27b-it-GGUF:# Run inference directly in the terminal:
./llama-cli -hf AI-Engine/gemma-2-27b-it-GGUF: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 AI-Engine/gemma-2-27b-it-GGUF:# Run inference directly in the terminal:
./build/bin/llama-cli -hf AI-Engine/gemma-2-27b-it-GGUF:Use Docker
docker model run hf.co/AI-Engine/gemma-2-27b-it-GGUF:Quick Links
GGUF llama.cpp quantized version of:
- Original model: gemma-2-27b-it
- Model creator: Google
- License
Recommended Prompt Format (Gemma)
<start_of_turn>model
Provide some context and/or instructions to the model.<end_of_turn>model
<start_of_turn>user
The user’s message goes here<end_of_turn>
<start_of_turn>model
AI message goes here<end_of_turn>model
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf AI-Engine/gemma-2-27b-it-GGUF:# Run inference directly in the terminal: llama cli -hf AI-Engine/gemma-2-27b-it-GGUF: