Cerno (27B / 9B / 4B)
Quadrant scores
See the full quadrantScored with the public quadrant rubric (maturity × capability; bubble = adoption). Revise as evidence lands.
- Maturity5.2/10
Apache-2.0 weights in 27B, 9B and 4B (Qwen bases, FP8 for the 27B) with one shared inference code path and published Decision Index runs. Company-run, no hosted API or SLA; few integrations.
- Capability7.6/10
Decision Index 0.4.1 (22 Oct) Full 61.68 (#31) for the 27B (9B and 4B not listed on 0.4.1), above Jev 1.13 (59.22). Choice (up to 255), yes/no and score in one pass. Author board-style ECE 5.7 pts and 52 ms median on one H200.
- Adoption1/100
About 180 downloads and 9 likes across the three repos (20 Oct). No integrations or production users found.
Vendor claims
- 27B: second of 145 entrants on the Decision Index 0.3 public suite on a like-for-like basis; board-style ECE 5.7 pts; golden set 92.7% accuracy, ECE 0.022[Vendor claim — not independently verified]
- 52 ms median per request on one H200, one request at a time[Vendor claim — not independently verified]
publicado (OK do Fabricio 20/10 BRT). Scores are calculated from scratch.
What it is
Apertix AI’s open Jev-style decision family (27B, 9B, 4B, Apache-2.0) with calibrated probabilities in one pass. Decision Index 0.4 Full 62.64 (#26) for the 27B. Source: huggingface.co/apertixai/cerno-27b. The card’s “second of 145” refers to the 0.3 public suite run by the authors, not to the 0.4 Full ranking.
Board result
| Board | Row | Result |
|---|---|---|
| Decision Index 0.4 (20 Oct 2026) | Cerno (27B / 9B / 4B) | Full 62.64 (#26); Jev 1.13 61.26 (#34), Jev 1.14 62.22 (#28) |
Not checked against JevBench or Artificial Analysis for this page; the boards are never combined.
Vendor claims (UnverifiedClaim)
- 27B: second of 145 entrants on the Decision Index 0.3 public suite on a like-for-like basis; board-style ECE 5.7 pts; golden set 92.7% accuracy, ECE 0.022 (source)
- 52 ms median per request on one H200, one request at a time (source)
Scores (from scratch, 20 Oct 2026)
- Capability 7.6 = types × 0.30 + calibration × 0.25 + latency × 0.25 + accuracy × 0.20 = 10 × 0.30 + 6 × 0.25 + 6 × 0.25 + 8 × 0.20 = 7.60. Accuracy: 8 × 62.64 ÷ 61.26 = 8.18 → 8.
- Maturity 5.2 = availability × 0.30 + docs × 0.25 + integrations × 0.25 + support × 0.20 = 7 × 0.30 + 7 × 0.25 + 3 × 0.25 + 3 × 0.20 = 5.20.
- Adoption 1 = engagement × 0.35 + ecosystem × 0.35 + production × 0.30 = 2 × 0.35 + 1 × 0.35 + 0 × 0.30 = 1.05 → 1.
Board audit (22 Oct 2026, DI 0.4.1)
publicado (OK do Fabricio 22/10 BRT).
Decision Index 0.4.1 (22 Oct; reference Jev 1.13 Full 59.22, was 61.26 on 0.4) lists this page’s row at Full 61.68 (#31). Accuracy rule: 8 × 61.68 ÷ 59.22 = 8.33 → 8 (was 8). Capability unchanged. Maturity and adoption unchanged.
