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Awesome GitHub RepositoriesFine-tuning Scripts
Reference implementations and scripts for adapting pre-trained neural network models to domain-specific datasets.
Distinguishing note: Focuses on the adaptation phase of model development rather than initial training or inference deployment.
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Awesome Fine-tuning Scripts GitHub Repositories
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- deepspeedai/DeepSpeed
deepspeedai/DeepSpeed
41,638View on GitHubDeepSpeed is a high-performance library designed to scale deep learning model training and inference across massive clusters of GPUs and compute nodes. It provides a comprehensive suite of tools for distributed training, enabling the execution of models that exceed the memory capacity of single devices through advanced parameter partitioning, pipeline-based model parallelism, and memory-efficient state offloading. The framework distinguishes itself through specialized communication-efficient optimizers and hardware-aware acceleration techniques. By utilizing gradient compression, quantization
The framework includes reference scripts to adapt pre-trained BERT models to specific datasets using distributed training modes for improved performance.
Pythonbillion-parameterscompressiondata-parallelism
