JevBench by Benchmark Heaven · v1.4.2.2 · individual system

Plumb-4B (crh225, JevK5 v0.2 + LoRA)

Jev rebuild · by crh225

JevBench v1.4.2.2 score

65.8

Rank #2 of 91 ranked systems.

2.6 points ahead of Jev 1.13.0's 63.3.

Where it sits among the 91 ranked systems. The marked tick is Jev 1.13.0 (63.3).

Published axes

intelligence
53.0
calibration
75.5
speed
93.5
cost
55.8

Against Jev 1.13.0

Four radars compare this fixed pair across the score axes, accuracy per tier, and accuracy by family on the hard tier and sealed set. Further out is better on every spoke.

  • A: Plumb-4B — Jev rebuild · Score 65.8 (#2)
  • B: Jev 1.13.0 — Jev (TypeSafe, closed) · Score 63.3 (#4)

The four score axes

Radar: the four score axes, two systemsThe four score axes, Plumb-4B vs Jev 1.13.0. Intelligence: 53.0 vs 53.1; Calibration: 75.5 vs 76.3; Speed: 93.5 vs 83.3; Cost: 55.8 vs 52.0.50100Intelligence53.0 · 53.1Calibration75.5 · 76.3Speed93.5 · 83.3Cost55.8 · 52.0
0–100, the values in the table. A label-only system has no calibration (counted as 0).

Accuracy per tier, incl. sealed

Radar: accuracy per tier, incl. sealed, two systemsAccuracy per tier, incl. sealed, Plumb-4B vs Jev 1.13.0. Easy: 100% vs 100%; Standard: 98% vs 99%; Judge: 95% vs 95%; Hard: 78% vs 74%; Sealed: 38% vs 37%.50100Easy100% · 100%Standard98% · 99%Judge95% · 95%Hard78% · 74%Sealed38% · 37%
Share correct per tier; Sealed = the 308 private decisions, aggregate only.

Current question set by family (hard + sealed)

Plumb-4B has no published hard-tier family breakdown; families that need it are left out (—).

Radar: current question set by family (hard + sealed), two systemsCurrent question set by family (hard + sealed), Plumb-4B vs Jev 1.13.0. Ambiguous / abstain: — vs 43%; Judge: — vs 54%; Long policy: — vs 44%; Multi-hop: — vs 64%; Probability: — vs 63%; Temporal / numeric: — vs 28%; Trade-off: — vs 55%; Routing: — vs 100%; Trap / adversarial: — vs 83%; Paraphrase: 43% vs 64%; Safety judge: 31% vs 38%.50100Ambiguous /abstain43%Judge54%Long policy44%Multi-hop64%Probability63%Temporal /numeric28%Trade-off55%Routing100%Trap /adversarial83%Paraphrase43% · 64%Safety judge31% · 38%
Share correct per family across the 220 hard-tier decisions (public and held out) and the 308 sealed decisions of v1.4, pooled; Routing is hard-tier only, Paraphrase and Safety judge sealed only.

Sealed set by family

Radar: sealed set by family, two systemsSealed set by family, Plumb-4B vs Jev 1.13.0. Ambiguous / abstain: 59% vs 30%; Judge: 29% vs 34%; Long policy: 30% vs 28%; Multi-hop: 42% vs 45%; Paraphrase: 43% vs 64%; Probability: 29% vs 50%; Safety judge: 31% vs 38%; Temporal / numeric: 38% vs 29%; Trade-off: 35% vs 38%; Trap / adversarial: 50% vs 42%.50100Ambiguous /abstain59% · 30%Judge29% · 34%Long policy30% · 28%Multi-hop42% · 45%Paraphrase43% · 64%Probability29% · 50%Safety judge31% · 38%Temporal /numeric38% · 29%Trade-off35% · 38%Trap /adversarial50% · 42%
Share correct within each sealed family — system-level aggregates; the items stay private.

Availability and evidence

Openness
Code and weights marked open in the published row
License note
Apache-2.0 (weights and code; NOTICE credits JevK5, Qwen and SemIf); base Qwen3.5-4B Apache-2.0
Cost evidence
estimated; the board’s row disclosure contains the published basis.
Endpoint condition
our evaluator-owned Lium GPU pod (H100 80 GB (evaluator-owned Lium pod)), offline read-only container, author's model served on loopback
Note on this row
Crh225/plumb-4b @ 55de037801a8a9b9de3db5c0e16cef86210c2186: merged bf16 weights, LoRA r16 on the attention projections of JevK5 v0.2 (itself Qwen3.5-4B), served by the author's documented command, jevk5 v0.2.0's own jevk5-serve (github.com/allebee/jevk5, Apache-2.0), unmodified. One forward pass per decision: softmax over the declared options' answer-letter logits at the last position divided by the package's own T = 2.07 (jevk5_config.json), up to 16 options, 0 generated tokens; inputs over 16,384 tokens are refused rather than truncated. Disclosed by the author: no JevBench item was trained or tuned on and every checkpoint and temperature choice came from his own held-out sets, but the 231 public items were scored after each of five training rounds and that aggregate feedback shaped the recipe (hard mining, long documents, document length) — development against the public distribution, stated plainly. His own overlap audit dropped 9 training items sharing more than two 8-word spans with a public item. Independent top-five gate (25 Sep 2026): LEGIT — cost basis (same as its JevK5 parent), public-versus-sealed gap against like-for-like rows, an 8-gram screen of its released training data (no row shares more than two 8-grams with a public item) and an exact composite recomputation. Offline self-hosted inference of all 842 decisions (534 frozen v1.2 + 308 sealed v1.4) in a network-disabled, read-only container on an evaluator-owned Lium H100 80 GB (Hopper) pod, through JevBench's unchanged typesafe adapter against the author's own server on loopback; no operator endpoint; no golds were exposed. Latency is the serial request wall time on the standard+judge items with the self-hosted adjustment. Cost is a labelled estimate at the EmpirioLabs Qwen3.5-4B public pay-as-you-go list price ($0.04/M input, no output generated), applied to this system's measured tokens; it is not a GPU bill. 25 Sep 2026 pre-release correction: retired DeepInfra $0.03/M input reference replaced by bookable EmpirioLabs $0.04/M exact-base input reference; draft score 67.09 to 65.84.
Published source
https://github.com/crh225/plumb

From the public v1.4.2.2 aggregate. Scores and ranks can change when a new release is published.

Read the full board and published method. The overall score is a composite, not raw accuracy.