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

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 Desktop

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"

Damien113 commited on Feb 7, 2025

Commit

f4276aa

verified ·

1 Parent(s): 2d901b6

Update Modelfile

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@@ -20,6 +20,8 @@ Given the following functions, please respond with a JSON for a function call wi
 Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
 {{ $.Tools }}
 {{- end }}

 Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
+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.
 {{ $.Tools }}
 {{- end }}