How to use pripro/eval0.2 with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf pripro/eval0.2 # Run inference directly in the terminal: llama cli -hf pripro/eval0.2
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf pripro/eval0.2 # Run inference directly in the terminal: llama cli -hf pripro/eval0.2
# 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 pripro/eval0.2 # Run inference directly in the terminal: ./llama-cli -hf pripro/eval0.2
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 pripro/eval0.2 # Run inference directly in the terminal: ./build/bin/llama-cli -hf pripro/eval0.2
docker model run hf.co/pripro/eval0.2
How to use pripro/eval0.2 with Ollama:
ollama run hf.co/pripro/eval0.2
How to use pripro/eval0.2 with Docker Model Runner:
How to use pripro/eval0.2 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull pripro/eval0.2
lemonade run user.eval0.2-{{QUANT_TAG}}
lemonade list
https://huggingface.co/pripro/eval0.2/resolve/main/README.md
hf download hf://pripro/eval0.2/README.md
curl -L -o README.md https://huggingface.co/pripro/eval0.2/resolve/main/README.md
language: - en base_model: - unsloth/Qwen3.5-9B-GGUF
