TurboQuant Near-optimal vector quantization for LLM KV cache compression. 3-bit quantization with minimal accuracy loss and up to 8x memory reduction. A Python implementation of the TurboQuant ...
Abstract: Vector hydrophones are core components of underwater sonar systems. However, traditional vector hydrophones are characterized by high-noise levels and constrained low-frequency sensitivity, ...
In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using Python. We begin by constructing crystal structures such as silicon, sodium chloride, ...
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