Efficient 70B Model Inference on a Single 4GB GPU Using AirLLM

The project demonstrates efficient 70B parameter model inference using a single 4GB GPU, showcasing optimized machine learning techniques. It provides a technical solution for deploying large language models on resource-constrained hardware.

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