ZeroSlop™ KV-Cache & AST Diff Estimator

⚙️ Architecture Parameters

Model Target

KV Cache Precision

FP16 (2B)

FP8 (1B)

INT4 (0.5B)

Context Length 32,768 tokens

Concurrent Batch Size 16 streams

📊 Memory & Hardware Metrics

Model Weights Memory 131.5 GB

KV-Cache per Request 1024.0 MB

Total Active KV-Cache (Batch) 16.0 GB

Combined High-Bandwidth Memory 147.5 GB

Recommended Deployment Target 2x H100 (80GB) Node

✅ Balanced Compute Regime: Unified PagedAttention operates within nominal memory limits.

🔍 Pull Request Inspection

Lines Added

Lines Deleted

Files Modified

*Evaluates cognitive reviewer fatigue under the Cognitive Degradation Law (50-line PRs receive deep scrutiny; 500-line PRs receive rubber-stamp LGTMs).*

⚡ ZeroSlop™ Invariant Audit

Review Quality Tier Standard

Cognitive Bug Escape Risk Low

Estimated Senior Review Time ~20 min

ZeroSlop™ Target Minimized Diff 48 lines

AI Token Boilerplate Stripped 88.8%

Diff minimization and pre-flight validation performed with ZeroSlop™ CI.