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 fivetech/gemma-1.1-7b-it-Q2_K-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf fivetech/gemma-1.1-7b-it-Q2_K-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf fivetech/gemma-1.1-7b-it-Q2_K-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf fivetech/gemma-1.1-7b-it-Q2_K-GGUF:Q2_K
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 fivetech/gemma-1.1-7b-it-Q2_K-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama cli -hf fivetech/gemma-1.1-7b-it-Q2_K-GGUF:Q2_K
Use Docker
docker model run hf.co/fivetech/gemma-1.1-7b-it-Q2_K-GGUF:Q2_K
Quick Links

fivetech/gemma-1.1-7b-it-Q2_K-GGUF

This model was converted to GGUF format from google/gemma-1.1-7b-it using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew.

brew install ggerganov/ggerganov/llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo fivetech/gemma-1.1-7b-it-Q2_K-GGUF --model gemma-1.1-7b-it.Q2_K.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo fivetech/gemma-1.1-7b-it-Q2_K-GGUF --model gemma-1.1-7b-it.Q2_K.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m gemma-1.1-7b-it.Q2_K.gguf -n 128
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Architecture
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