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[r/ML] [Project] PentaNet: Pushing beyond BitNet with Native Pentanary {-2, -1, 0, 1, 2} Quantization (124M, zero-multiplier inference)

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Summary

PentaNet is a new project that extends extreme LLM quantization beyond BitNet's ternary system. It employs a pentanary quantization scheme {-2, -1, 0, 1, 2} to potentially retain more model capacity compared to ternary weights. This approach aims to maintain highly efficient "zero-multiplier inference" by replacing complex multiplications with simple additions and shifts, crucial for deploying LLMs on resource-constrained devices.

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