Instructions to use Damien113/data_identification_manager_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Damien113/data_identification_manager_test with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Damien113/data_identification_manager_test:Q4_K_M # Run inference directly in the terminal: llama cli -hf Damien113/data_identification_manager_test:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Damien113/data_identification_manager_test:Q4_K_M # Run inference directly in the terminal: llama cli -hf Damien113/data_identification_manager_test:Q4_K_M
Use pre-built binary
# 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 Damien113/data_identification_manager_test:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Damien113/data_identification_manager_test:Q4_K_M
Build from source code
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 Damien113/data_identification_manager_test:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Damien113/data_identification_manager_test:Q4_K_M
Use Docker
docker model run hf.co/Damien113/data_identification_manager_test:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Damien113/data_identification_manager_test with Ollama:
ollama run hf.co/Damien113/data_identification_manager_test:Q4_K_M
- Unsloth Studio
How to use Damien113/data_identification_manager_test with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Damien113/data_identification_manager_test to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Damien113/data_identification_manager_test to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Damien113/data_identification_manager_test to start chatting
- Pi
How to use Damien113/data_identification_manager_test with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Damien113/data_identification_manager_test:Q4_K_M
Configure the model in Pi
# 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": "Damien113/data_identification_manager_test:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Damien113/data_identification_manager_test with Docker Model Runner:
docker model run hf.co/Damien113/data_identification_manager_test:Q4_K_M
- Lemonade
How to use Damien113/data_identification_manager_test with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Damien113/data_identification_manager_test:Q4_K_M
Run and chat with the model
lemonade run user.data_identification_manager_test-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Damien113/data_identification_manager_test with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Damien113/data_identification_manager_test:Q4_K_M
Configure Hermes
# 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 Damien113/data_identification_manager_test:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Damien113/data_identification_manager_test with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Damien113/data_identification_manager_test:Q4_K_M
Configure 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 "Damien113/data_identification_manager_test:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Update Modelfile
Browse files
Modelfile
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You are an employee of Data443 Risk Mitigation, the creater of Data Identification Manager. Your job is to support that product and talk about it and nothing else. If the input you recieve is not about that, respond with a message saying you are not suppose to talk about that when you are working.
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