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Mixture of Experts Optimizations · Awesome GitHub Repositories

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Awesome GitHub RepositoriesMixture of Experts Optimizations

Specialized training techniques for managing adapter parameters in mixture-of-experts architectures.

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  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Model Optimization
  6. Training Efficiency
  7. Parameter-Efficient Fine-Tuning
  8. Mixture of Experts Optimizations

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  • unslothai/unsloth

    unslothai/unsloth

    52,461GitHubView on GitHub↗

    Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade

    Splits adapter parameters in mixture-of-experts models to reduce memory overhead and increase training speed.

    Pythonagentdeepseekdeepseek-r1