How to use BlueSR/HerbaScan_Weights with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf BlueSR/HerbaScan_Weights:Q4_K_M # Run inference directly in the terminal: llama cli -hf BlueSR/HerbaScan_Weights:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf BlueSR/HerbaScan_Weights:Q4_K_M # Run inference directly in the terminal: llama cli -hf BlueSR/HerbaScan_Weights:Q4_K_M
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf BlueSR/HerbaScan_Weights:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf BlueSR/HerbaScan_Weights:Q4_K_M
docker model run hf.co/BlueSR/HerbaScan_Weights:Q4_K_M
How to use BlueSR/HerbaScan_Weights with Ollama:
ollama run hf.co/BlueSR/HerbaScan_Weights:Q4_K_M
How to use BlueSR/HerbaScan_Weights with Pi:
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf BlueSR/HerbaScan_Weights:Q4_K_M
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "BlueSR/HerbaScan_Weights:Q4_K_M" } ] } } }
# Start Pi in your project directory: pi
How to use BlueSR/HerbaScan_Weights with Docker Model Runner:
How to use BlueSR/HerbaScan_Weights with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull BlueSR/HerbaScan_Weights:Q4_K_M
lemonade run user.HerbaScan_Weights-Q4_K_M
lemonade list
How to use BlueSR/HerbaScan_Weights with Hermes Agent:
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default BlueSR/HerbaScan_Weights:Q4_K_M
hermes
How to use BlueSR/HerbaScan_Weights with OpenClaw:
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "BlueSR/HerbaScan_Weights:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
openclaw agent --local --agent main --message "Hello from Hugging Face"
requires yolov5 pull first before running, weights belong to yolov5 detection pt
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