How to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.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 NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S # Run inference directly in the terminal: llama cli -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
# 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 NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
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 NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
docker model run hf.co/NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
How to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF with Ollama:
ollama run hf.co/NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
How to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF with Docker Model Runner:
How to use NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NexesQuants/MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF:Q4_K_S
lemonade run user.MIstral-QUantized-70b_Miqu-1-70b-iMat.GGUF-Q4_K_S
lemonade list
