TFMC/imatrix-dataset-for-japanese-llm
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How to use tatsuyaaaaaaa/gemma-3-270m-it-gguf with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M
# 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 tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M
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 tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M
docker model run hf.co/tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M
How to use tatsuyaaaaaaa/gemma-3-270m-it-gguf with Ollama:
ollama run hf.co/tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M
How to use tatsuyaaaaaaa/gemma-3-270m-it-gguf with Docker Model Runner:
docker model run hf.co/tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M
How to use tatsuyaaaaaaa/gemma-3-270m-it-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tatsuyaaaaaaa/gemma-3-270m-it-gguf:Q4_K_M
lemonade run user.gemma-3-270m-it-gguf-Q4_K_M
lemonade list
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:# Run inference directly in the terminal:
llama cli -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:# 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 tatsuyaaaaaaa/gemma-3-270m-it-gguf:# Run inference directly in the terminal:
./llama-cli -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf: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 tatsuyaaaaaaa/gemma-3-270m-it-gguf:# Run inference directly in the terminal:
./build/bin/llama-cli -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:docker model run hf.co/tatsuyaaaaaaa/gemma-3-270m-it-gguf:Googleのgemma-3-270m-itをgguf変換したものです。
imatrix量子化時にはTFMC/imatrix-dataset-for-japanese-llmのデータセットを用いています。
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf:# Run inference directly in the terminal: llama cli -hf tatsuyaaaaaaa/gemma-3-270m-it-gguf: