How to use nisten/qwenv2-7b-inst-imatrix-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 nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF # Run inference directly in the terminal: llama cli -hf nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF # Run inference directly in the terminal: llama cli -hf nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF
# 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 nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF # Run inference directly in the terminal: ./llama-cli -hf nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF
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 nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF # Run inference directly in the terminal: ./build/bin/llama-cli -hf nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF
docker model run hf.co/nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF
How to use nisten/qwenv2-7b-inst-imatrix-gguf with Ollama:
ollama run hf.co/nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF
How to use nisten/qwenv2-7b-inst-imatrix-gguf with Docker Model Runner:
How to use nisten/qwenv2-7b-inst-imatrix-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull nisten/qwenv2-7b-inst-imatrix-gguf:F16_OUTPUTF
lemonade run user.qwenv2-7b-inst-imatrix-gguf-F16_OUTPUTF
lemonade list
