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From ArXiv to Production: How Sub-Byte Quantization Breaks LLM's Memory Ceiling

LLM 메모리 한계 돌파, 논문에서 실전으로 진화한 TurboQuant의 혁신

Why it matters

TurboQuant solves the primary bottleneck in LLM serving by enabling sub-byte KV cache quantization without requiring calibration datasets. By transforming theoretical research into the open-source aither-kvcache package, it allows consumer hardware to handle significantly larger context windows.

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TurboQuantKV CacheVector QuantizationvLLMSub-byte

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