v9: 6.9/10 quality (beats LLMLingua-2 6.2), 2.3x faster, 215K extractive labels from 8 diverse datasets

v4: coherent labels (37K) — Claude-distilled extractive compression, argmax inference

v3: trained on 330K structured tool outputs (H100) — JSON, diffs, logs, code, SQL, agentic traces

Initial release: Kompress v1 — ModernBERT token compressor for agentic contexts