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Parameter-Efficient Fine-Tuning · Awesome GitHub Repositories

2 repos

Awesome GitHub RepositoriesParameter-Efficient Fine-Tuning

Methods for adapting models by updating a subset of parameters.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Parameter-Efficient Fine-Tuning. Refine with filters or upvote what's useful.

  1. Home
  2. Artificial Intelligence & ML
  3. Model Lifecycle Management
  4. Model Optimization
  5. Parameter-Efficient Fine-Tuning

Awesome Parameter-Efficient Fine-Tuning GitHub Repositories

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  • hiyouga/LlamaFactory

    hiyouga/LlamaFactory

    67,386GitHubView on GitHub↗

    LlamaFactory is a unified framework for fine-tuning and adapting large language models. It provides a comprehensive platform that standardizes training workflows across diverse machine learning architectures, allowing users to execute both full-tuning and parameter-efficient methods through a single interface. The pro

    Pythonagentaideepseek
  • 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

    Pythonagentdeepseekdeepseek-r1

Explore sub-tags

  • Mixture of Experts OptimizationsSpecialized training techniques for managing adapter parameters in mixture-of-experts architectures.