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  1. Home
  2. /Repositories
  3. /jagmarques/nexusquant
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 5d agoLive · 4m ago

jagmarques/nexusquant

Training-free KV cache compression via E8 lattice VQ. 2-bit KV that preserves retrieval (30/30 NIAH vs TurboQuant 0/30). Calibration-free, 9 architectures validated.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 56%GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache →
  • PossiblePossibly related (embedding) · 55%FreqDepthKV: Frequency-Guided Depth Sharing for Robust KV Cache Compression in Long-Context LLM Inference →
  • PossiblePossibly related (embedding) · 52%BiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model Compression →
  • PossiblePossibly related (embedding) · 50%DepthWeave-KV: Token-Adaptive Cross-Layer Residual Factorization for Long-Context KV Cache Compression →
  • PossiblePossibly related (embedding) · 48%I mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset) →
  • PossiblePossibly related (embedding) · 59%A JoLT for the KV Cache: Near-Lossless KV Cache Compression via Joint Tucker and JL-Residual Allocation for LLMs →
  • PossiblePossibly related (embedding) · 47%Show HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios) →

Implements

paperGSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV CachepaperFreqDepthKV: Frequency-Guided Depth Sharing for Robust KV Cache Compression in Long-Context LLM InferencepaperBiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model CompressionpaperDepthWeave-KV: Token-Adaptive Cross-Layer Residual Factorization for Long-Context KV Cache Compression

Covers

newsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)

Implements (incoming)

paperA JoLT for the KV Cache: Near-Lossless KV Cache Compression via Joint Tucker and JL-Residual Allocation for LLMs

Covers (incoming)

newsShow HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios)

Related across the graph

paperBiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model CompressionpaperA JoLT for the KV Cache: Near-Lossless KV Cache Compression via Joint Tucker and JL-Residual Allocation for LLMspaperDepthWeave-KV: Token-Adaptive Cross-Layer Residual Factorization for Long-Context KV Cache CompressionnewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)paperFreqDepthKV: Frequency-Guided Depth Sharing for Robust KV Cache Compression in Long-Context LLM InferencenewsShow HN: misa77 - a codec that decodes 2x faster than LZ4 (at better ratios)paperGSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache
Knowledge path·PBiSCo-LLM: Lookup-Free Binary Spherical Coding for Extreme Low-Bit Large Language Model Compression→PA JoLT for the KV Cache: Near-Lossless KV Cache Compression via Joint Tucker and JL-Residual Allocation for LLMs→PDepthWeave-KV: Token-Adaptive Cross-Layer Residual Factorization for Long-Context KV Cache Compression→Rjagmarques/nexusquant

Topics

attentioncompressione8-latticeinferencekv-cachellamallmllm-inferencelong-contextmemory-efficient

Explore

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Graph trust82Primary
Graph score25