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leonx1995
/
docudis-intent-gemma4

Text Generation
GGUF
gemma4
anonymization
pii
structured-output
conversational
Model card Files Files and versions
xet
Community

Instructions to use leonx1995/docudis-intent-gemma4 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 leonx1995/docudis-intent-gemma4 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 leonx1995/docudis-intent-gemma4
    # Run inference directly in the terminal:
    llama cli -hf leonx1995/docudis-intent-gemma4
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf leonx1995/docudis-intent-gemma4
    # Run inference directly in the terminal:
    llama cli -hf leonx1995/docudis-intent-gemma4
    Build from source code
    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 leonx1995/docudis-intent-gemma4
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf leonx1995/docudis-intent-gemma4
    Use Docker
    docker model run hf.co/leonx1995/docudis-intent-gemma4
  • Llama new
  • LM Studio
  • Jan
  • vLLM

    How to use leonx1995/docudis-intent-gemma4 with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "leonx1995/docudis-intent-gemma4"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "leonx1995/docudis-intent-gemma4",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/leonx1995/docudis-intent-gemma4
  • Ollama

    How to use leonx1995/docudis-intent-gemma4 with Ollama:

    ollama run hf.co/leonx1995/docudis-intent-gemma4
  • Unsloth Desktop
  • Pi

    How to use leonx1995/docudis-intent-gemma4 with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf leonx1995/docudis-intent-gemma4
    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": "leonx1995/docudis-intent-gemma4"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use leonx1995/docudis-intent-gemma4 with Docker Model Runner:

    docker model run hf.co/leonx1995/docudis-intent-gemma4
  • Lemonade

    How to use leonx1995/docudis-intent-gemma4 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull leonx1995/docudis-intent-gemma4
    Run and chat with the model
    lemonade run user.docudis-intent-gemma4-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Hermes Agent

    How to use leonx1995/docudis-intent-gemma4 with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf leonx1995/docudis-intent-gemma4
    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 leonx1995/docudis-intent-gemma4
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use leonx1995/docudis-intent-gemma4 with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf leonx1995/docudis-intent-gemma4
    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 "leonx1995/docudis-intent-gemma4" \
      --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"
docudis-intent-gemma4
3.79 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
leonx1995's picture
leonx1995
Add a version table to the model card
1b41485 verified about 1 month ago
  • .gitattributes
    1.57 kB
    Docudis intent model: Gemma 4 E2B fine-tune, mixq8 GGUF about 1 month ago
  • LICENSE
    11.6 kB
    Docudis intent model: Gemma 4 E2B fine-tune, mixq8 GGUF about 1 month ago
  • README.md
    8.18 kB
    Add a version table to the model card about 1 month ago
  • intent-mixq8.gguf
    3.79 GB
    xet
    Round 4: narrowed keeps are unsupported; 5 epochs; test 90.3% about 1 month ago
  • intent.gbnf
    2.25 kB
    Docudis intent model: Gemma 4 E2B fine-tune, mixq8 GGUF about 1 month ago
  • model.json
    383 Bytes
    Docudis intent model: Gemma 4 E2B fine-tune, mixq8 GGUF about 1 month ago
  • system_prompt.txt
    106 Bytes
    Docudis intent model: Gemma 4 E2B fine-tune, mixq8 GGUF about 1 month ago