Showing 5 open source projects for "compression"

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  • 1
    NNCF

    NNCF

    Neural Network Compression Framework for enhanced OpenVINO

    NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency.
    Downloads: 0 This Week
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  • 2
    DOLMA

    DOLMA

    Data and tools for generating and inspecting OLMo pre-training data

    DOLMA (Data Optimization and Learning for Model Alignment) is a framework designed to manage large-scale datasets for training and fine-tuning language models efficiently.
    Downloads: 2 This Week
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  • 3
    SparseML

    SparseML

    Libraries for applying sparsification recipes to neural networks

    SparseML is an optimization toolkit for training and deploying deep learning models using sparsification techniques like pruning and quantization to improve efficiency.
    Downloads: 0 This Week
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  • 4
    TextBrewer

    TextBrewer

    A PyTorch-based knowledge distillation toolkit

    TextBrewer is a PyTorch-based model distillation toolkit for natural language processing. It includes various distillation techniques from both NLP and CV field and provides an easy-to-use distillation framework, which allows users to quickly experiment with the state-of-the-art distillation methods to compress the model with a relatively small sacrifice in the performance, increasing the inference speed and reducing the memory usage.
    Downloads: 0 This Week
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  • 5
    YouTokenToMe

    YouTokenToMe

    Unsupervised text tokenizer focused on computational efficiency

    YouTokenToMe is a fast and efficient unsupervised text tokenization library designed for training subword embeddings, particularly useful for NLP models.
    Downloads: 0 This Week
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