Using Ollama Models

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🔌 Run Presenton with an Ollama Model (Fully Offline)

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🚀 Example: Run Presenton with Ollama

docker run -it --name presenton -p 5000:80 \
  -e LLM="ollama" \
  -e OLLAMA_MODEL="llama3.2:3b" \
  -e IMAGE_PROVIDER="pexels" \
  -e PEXELS_API_KEY="your_pexels_api_key" \
  -e CAN_CHANGE_KEYS="false" \
  -v "./app_data:/app_data" \
  ghcr.io/presenton/presenton:latest

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🚀 Example: Run Presenton with you own Ollama server

docker run -it --name presenton -p 5000:80 \
  -e LLM="ollama" \
  -e OLLAMA_MODEL="llama3.2:3b" \
  -e OLLAMA_URL="http://XXXXXXXXXXXXX" \
  -e IMAGE_PROVIDER="pexels" \
  -e PEXELS_API_KEY="your_pexels_api_key" \
  -e CAN_CHANGE_KEYS="false" \
  -v "./app_data:/app_data" \
  ghcr.io/presenton/presenton:latest

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🧾 Ollama Environment Variables

• LLM="ollama" Select Ollama as the LLM backend.
• OLLAMA_MODEL Required. The Ollama model to use (e.g., llama3.2:3b, mistral, phi3, etc.). Example:
  Copy

  OLLAMA_MODEL="llama3.2:3b"
  

• OLLAMA_URL Optional. Set this if you’re running Ollama outside Docker or on a custom host. Example:
  Copy

  OLLAMA_URL="http://XXXXXXXXXXXX"
  

You can get a free API key at https://www.pexels.com/api/

✅ Add --gpus=all to enable GPU acceleration (see Using GPU).

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🧠 Supported Ollama Models

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📌 Additional Notes

• Use the OLLAMA_MODEL environment variable to select any supported model.
• Ensure your system has enough RAM or GPU memory to handle the model.
• Always include a PEXELS_API_KEY for full image generation functionality.