How to use jinghao1632/bit-jev-2b-distilled with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf jinghao1632/bit-jev-2b-distilled # Run inference directly in the terminal: llama cli -hf jinghao1632/bit-jev-2b-distilled
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf jinghao1632/bit-jev-2b-distilled # Run inference directly in the terminal: llama cli -hf jinghao1632/bit-jev-2b-distilled
# 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 jinghao1632/bit-jev-2b-distilled # Run inference directly in the terminal: ./llama-cli -hf jinghao1632/bit-jev-2b-distilled
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 jinghao1632/bit-jev-2b-distilled # Run inference directly in the terminal: ./build/bin/llama-cli -hf jinghao1632/bit-jev-2b-distilled
docker model run hf.co/jinghao1632/bit-jev-2b-distilled
How to use jinghao1632/bit-jev-2b-distilled with Ollama:
ollama run hf.co/jinghao1632/bit-jev-2b-distilled
How to use jinghao1632/bit-jev-2b-distilled with Docker Model Runner:
How to use jinghao1632/bit-jev-2b-distilled with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jinghao1632/bit-jev-2b-distilled
lemonade run user.bit-jev-2b-distilled-{{QUANT_TAG}}
lemonade list
