How to use XGGMasterX/NeufitechV7SMLGemma with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf XGGMasterX/NeufitechV7SMLGemma:F16 # Run inference directly in the terminal: llama cli -hf XGGMasterX/NeufitechV7SMLGemma:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf XGGMasterX/NeufitechV7SMLGemma:F16 # Run inference directly in the terminal: llama cli -hf XGGMasterX/NeufitechV7SMLGemma:F16
# 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 XGGMasterX/NeufitechV7SMLGemma:F16 # Run inference directly in the terminal: ./llama-cli -hf XGGMasterX/NeufitechV7SMLGemma:F16
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 XGGMasterX/NeufitechV7SMLGemma:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf XGGMasterX/NeufitechV7SMLGemma:F16
docker model run hf.co/XGGMasterX/NeufitechV7SMLGemma:F16
How to use XGGMasterX/NeufitechV7SMLGemma with Ollama:
ollama run hf.co/XGGMasterX/NeufitechV7SMLGemma:F16
How to use XGGMasterX/NeufitechV7SMLGemma with Docker Model Runner:
How to use XGGMasterX/NeufitechV7SMLGemma with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull XGGMasterX/NeufitechV7SMLGemma:F16
lemonade run user.NeufitechV7SMLGemma-F16
lemonade list
Se agrego sistema de contexto y se fixeo error de entrenamiento.
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