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1

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: 1 This Week

Last Update: 2026-06-01
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2

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: 3 This Week

Last Update: 2025-06-25
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3

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

Last Update: 2025-06-02
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4

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

Last Update: 2025-01-22
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