eOptShrinkQ: Near-Lossless KV Cache Compression for LLMs
eOptShrinkQ offers near-lossless KV cache compression for LLMs, leveraging spectral denoising and quantization to reduce memory overhead and improve long-context inference.
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eOptShrinkQ offers near-lossless KV cache compression for LLMs, leveraging spectral denoising and quantization to reduce memory overhead and improve long-context inference.
Read the briefing
QKVShare enables efficient context transfer between multi-agent LLMs on edge devices using quantized KV-cache handoff, reducing latency and memory overhead.
Hypura revolutionizes local LLM inference on Apple Silicon by intelligently using RAM and SSD as a two-tier cache, cutting follow-up...