Project: Stable LM
StableLM is an open-source framework for training and fine-tuning large language models with a focus on improving stability and robustness.

Key Takeaways

1. Enhanced stability and robustness: StableLM provides techniques to address issues such as catastrophic forgetting, bias, and adversarial attacks, resulting in more stable and robust language models. This is particularly important for real-world applications where language models are expected to perform reliably over time.
2. Customizable architecture: The framework provides a customizable architecture for training large language models, allowing users to experiment with different configurations and hyperparameters to optimize performance.
3. Data pre-processing tools: StableLM also provides tools for pre-processing data, such as cleaning, tokenizing, and normalizing text, which is critical for training high-quality language models.
4. Easy integration with other AI tools: StableLM is designed to work seamlessly with other AI tools, such as TensorFlow and PyTorch, making it easy to incorporate into existing workflows.
5. Open-source and community-driven: StableLM is an open-source project on GitHub, which means that anyone can contribute to its development and use it for their own projects. This fosters a community-driven approach to AI development and encourages collaboration and innovation.


  • Enhanced stability and robustness of large language models
  • Customizable architecture for optimizing performance
  • Pre-processing tools for cleaning and normalizing text data
  • Easy integration with other AI tools
  • Open-source and community-driven
  • Cons

  • Requires significant computational resources to train large language models
  • Limited documentation and support resources compared to commercial tools
  • May require expertise in machine learning and natural language processing to use effectively
  • Stable LM x Resemble AI Integration
  • Resemble AI's text-to-speech technology can be used to provide natural-sounding voiceovers for Stable LM's generated text, enhancing the overall output with more expressive speech.
  • Stable LM's language modeling capabilities can be used to provide input for Resemble AI's text-to-speech technology, generating more diverse and nuanced speech patterns.
  • Resemble AI and Stable LM can collaborate to develop new applications for language modeling and text-to-speech technology, such as voice-enabled smart devices or speech-to-text transcription tools, that leverage the strengths of each platform.
  • Try For Yourself!

    About Resemble AI

    Resemble AI is a leading AI voice cloning and generative voice technology company that  allows you to create custom AI voices and integrate it with your project. Create an AI voice with limited data.

    Build Voices that Fit into your Character

    Unique characters require identifiable voices. Resemble's core Cloning engine makes it easy for developers to build voices and programmatically control them through the API or within Unity.

    Try it out yourself

    Upload Raw Audio*

    If you already have audio from a Voice Talent that you'd like to bring on to our platform, we provide one-click upload functionality to clone speech from any given audio.

    * You must provide valid consent from the voice talent in the file you upload.

    An API that fits your Workflow

    Rapidly build production-ready integrations with modern tools. Use Resemble's API to fetch existing content, create new clips and even build voices on the fly.