TFMC/imatrix-dataset-for-japanese-llm
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How to use mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf", filename="DataPilot-ArrowPro-7B-RobinHood-IQ1_M.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
How to use mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf mmnga/DataPilot-ArrowPro-7B-RobinHood-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 mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mmnga/DataPilot-ArrowPro-7B-RobinHood-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 mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M
docker model run hf.co/mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M
How to use mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf with Ollama:
ollama run hf.co/mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M
How to use mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf to start chatting
How to use mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf with Docker Model Runner:
docker model run hf.co/mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M
How to use mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf:Q4_K_M
lemonade run user.DataPilot-ArrowPro-7B-RobinHood-gguf-Q4_K_M
lemonade list
DataPilotさんが公開しているArrowPro-7B-RobinHoodのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
mmnga/DataPilot-ArrowPro-7B-RobinHood-gguf
mmnga/DataPilot-ArrowPro-7B-KUJIRA-gguf
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
make -j
./main -m 'DataPilot-ArrowPro-7B-RobinHood-Q4_0.gguf' -n 128 -p 'こんにちわ'
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