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Llama Assistant

DocumentationDocumentationAboutAbout
GitHubGitHub (opens in a new tab)
  • Basics
  • 1. Your Privacy-First AI Helper
  • 2. Installation
  • 3. Supported Models
  • 4. Wake Word: Hey Llama!
  • 5. RAG Support
  • Advanced
  • 5. Train Custom Wake Word
  • 6. Llama 3.2 (1B-3B) Finetuning
  • Blog
  • Why do we need a privacy-first AI assistant?
  • More
  • About Llama Assistant
  • Neural Research Lab ↗ (opens in a new tab)
  • Documentation
    • Basics
    • 1. Your Privacy-First AI Helper
    • 2. Installation
    • 3. Supported Models
    • 4. Wake Word: Hey Llama!
    • 5. RAG Support
    • Advanced
    • 5. Train Custom Wake Word
      • 🛠️ Train Your Own Wake Word Model
    • 6. Llama 3.2 (1B-3B) Finetuning
    • Blog
    • Why do we need a privacy-first AI assistant?
    • More
    • About Llama Assistant
    • Neural Research Lab ↗ (opens in a new tab)
  • About

On This Page

  • 🛠️ Train Your Own Wake Word Model
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Documentation
5. Train Custom Wake Word

🛠️ Train Your Own Wake Word Model

Use OpenWakeWord (opens in a new tab) to create a custom model:

  1. 🧠 Train model using Google Colab with instructions from OpenWakeWord (opens in a new tab). > Access the notebook (opens in a new tab).
  2. ⬇️ Download .onnx model file after training.
  3. 📁 Place in llama_assistant/resources directory.
  4. 🔄 Update wake_word_detector.py with new model name.

Now you can wake Llama Assistant with your own custom phrase! 🦙✨

Training wake word models:

Training Wake Word Models

5. RAG Support6. Llama 3.2 (1B-3B) Finetuning

Developed by Neural Research Lab.

© 2024 The Llama Assistant Project.