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    A developer project called AirLLM is drawing attention for enabling inference on a 2.8 trillion parameter language model using only a single GPU with 4GB of memory. The open-source tool, written as a Jupyter Notebook, drastically lowers the hardware barrier for running very large models locally, making it a notable talking point among AI developers.

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