Shypd.aiThe largest open index of AI toolsAwesome-Efficient-LLM is an open-source research tool that curates a list of resources for efficient large language models. It covers topics like pruning, knowledge distillation, and quantization, providing a valuable resource for researchers.
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Awesome-Efficient-LLM is a comprehensive, curated list of resources focused on efficient large language models (LLMs). This open-source project provides researchers and engineers with a centralized hub for papers and projects related to optimizing LLMs. The list is organized into various sub-areas, including Network Pruning / Sparsity, Knowledge Distillation, Quantization, Inference Acceleration, Efficient MOE, Efficient Architecture of LLM, KV Cache Compression, Text Compression, Low-Rank Decomposition, Hardware / System / Serving, Efficient Fine-tuning, Efficient Training, Survey or Benchmark, and Reasoning Model. Users can easily navigate through these categories to find relevant papers, with recent additions highlighted on the main page. The project also encourages community contributions, allowing users to submit new papers or update existing details via pull requests or email, ensuring the list remains current and comprehensive.
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