SparseGPT: Remove 100B Parameters For Free - Neural Magic

Large language models (LLMs) solve natural language processing problems with astounding accuracy. However, these models are enormous and require a lot of space, cost, and computation power to deploy. For example, the GPT-175B model has 175 billion parameters requiring 320GB of storage and at least 5 A100 GPUs with 80GB of memory each for inference. This computation power is expensive, making this solution only viable for some organizations. Hence, deployment of such models falls outside the purview of small organizations and individuals.