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FLINT transforms LLM inference by integrating high-bandwidth flash, overcoming memory constraints that limit model deployment and performance.
KVarN reduces error accumulation in autoregressive decoding, setting a new standard for KV-cache quantization with remarkable efficiency at 2-bit precision.
