We have hosted the application sparseml in order to run this application in our online workstations with Wine or directly.


Quick description about sparseml:

SparseML is an optimization toolkit for training and deploying deep learning models using sparsification techniques like pruning and quantization to improve efficiency.

Features:
  • Supports pruning, quantization, and distillation for model compression
  • Works with PyTorch and TensorFlow models
  • Enables efficient inference on CPUs without GPUs
  • Provides pre-optimized recipes for popular deep learning architectures
  • Reduces model size while maintaining accuracy
  • Compatible with DeepSparse for optimized execution


Programming Language: Python.
Categories:
Natural Language Processing (NLP), LLM Inference

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