Few Bits, One Law: Toward W2A4KV2
Extreme low-bit LLM compression is most challenging when weights, activations, and KV caches are quantized together: their distributions differ, and quantization errors interact throughout the network. We introduce CanonQ, a unified quantization-aware training framework that addresses these challenges by separating sou...
Kai Yi, Tarek Elgamal, Sruthikesh Surineni et al.
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