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 chenghenry/gemma-2-9b-it-GGUF:Q4_K_M# Run inference directly in the terminal:
llama cli -hf chenghenry/gemma-2-9b-it-GGUF:Q4_K_MUse 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 chenghenry/gemma-2-9b-it-GGUF:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf chenghenry/gemma-2-9b-it-GGUF:Q4_K_MBuild 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 chenghenry/gemma-2-9b-it-GGUF:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf chenghenry/gemma-2-9b-it-GGUF:Q4_K_MUse Docker
docker model run hf.co/chenghenry/gemma-2-9b-it-GGUF:Q4_K_MQuick Links
Usage (llama-cli with GPU):
llama-cli -m ./gemma-2-9b-it-Q6_K.gguf -ngl 100 --temp 0 --repeat-penalty 1.0 --color -p "Why is the sky blue?"
Usage (llama-cli with CPU):
llama-cli -m ./gemma-2-9b-it-Q6_K.gguf --temp 0 --repeat-penalty 1.0 --color -p "Why is the sky blue?"
Usage (llama-cpp-python via Hugging Face Hub):
from llama_cpp import Llama
llm = Llama.from_pretrained(
repo_id="chenghenry/gemma-2-9b-it-GGUF",
filename="gemma-2-9b-it-Q6_K.gguf",
n_ctx=8192,
n_batch=2048,
n_gpu_layers=100,
verbose=False,
chat_format="gemma"
)
prompt = "Why is the sky blue?"
messages = [{"role": "user", "content": prompt}]
response = llm.create_chat_completion(
messages=messages,
repeat_penalty=1.0,
temperature=0)
print(response["choices"][0]["message"]["content"])
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf chenghenry/gemma-2-9b-it-GGUF:Q4_K_M# Run inference directly in the terminal: llama cli -hf chenghenry/gemma-2-9b-it-GGUF:Q4_K_M