Jet

Jet-4B is evaluated with the official Decision Index runner (decision_index, pinned to commit 52a698928a9ae5bdf16b75687c903871db29c6e5 in the benchmark extra).

Official result: Decision Index 0.3

Jet-4B v6.2 (listed as Jet v6.2) is on the Decision Index 0.3 leaderboard (edition generated 2026-10-07), run by the index maintainers on the full suite: 110,201 requests across 42 benchmarks, of which Jet-4B answered 109,958. The other 243 exceed its 16,384-token prompt limit and count as unanswered.

The index weights the three parts 20/50/30 after equating each across models, so it isn't a plain weighted sum of the part scores above. Scores within the index's 0.9-point tie band are tied; Jet-4B's is. Nearby entries on the same 4B base: Hopper (G) 1.2 42.61, JPT-4B 41.63, Kev 4B r10 39.50, InternLM Intern-Decision 38.21.

Calibration on the index's scored cases: 66.0% accurate at 80.1% mean confidence (ECE 0.141), so Jet-4B is overconfident, most of all in Knowledge & Reasoning and Arts. New domains is the weakest of the three parts.

The sections below cover running the index yourself. Self-run results are sampled or partial diagnostics, not official scores.

Engines

All engines share one request policy (decision_index_engine.prepare_request): complete prompts or an explicit Unsupported, no truncation or option pruning, exact option keys, and full-precision probabilities, with the chosen option's probability as confidence. The default complete-prompt limit is 8,192 tokens. Provenance records the resolved model revision, adapter and calibration hashes, and code hashes.

jet-bench-index prepare, audit and report build compatibility cases and complete-group diagnostic samples, audit tokenizer coverage, and report official native metrics on a diagnostic sample. Diagnostic reports never produce an overall index.

Running

# Jet-4B on CUDA
uv sync --extra benchmark --inexact
uv run --no-sync python -m decision_index run --engine decision_index_torch:TorchJetEngine \
  --rows artifacts/decision-index/diagnostic/compatibility.jsonl.gz \
  --out artifacts/decision-index/runs/compatibility-v6 \
  --option model=quaedra/jet --option revision=e5b8f610ddb92ffaba596ae452bed32a9fef49ca \
  --option max_tokens=8192

# Qwen3-0.6B releases with MLX on CUDA (the launcher sets up CUDA headers)
bash scripts/bench_index_cuda.sh run --engine decision_index_engine:JetEngine \
  --rows artifacts/decision-index/diagnostic/compatibility.jsonl.gz \
  --out artifacts/decision-index/runs/compatibility-0.6b --option max_tokens=8192

Rebuild the public diagnostic corpus, then sample it:

uv run --extra benchmark python scripts/rebuild_index_diagnostic.py
uv run --extra benchmark jet-bench-index prepare \
  --suite-dir artifacts/decision-index/rebuild/artifacts/benchmark-suite/release-v1-rebuilt \
  --out artifacts/decision-index/diagnostic --n 500 --allow-partial

The official runner resumes from existing results. Keep model revision, capacity and code fixed within one output directory, and use a new directory per backend. Run the compatibility file before a full run. Use only the official scorer, and keep complete source groups, exclusions, full denominators, and track and macro weights.

Earlier diagnostics

• Jet-4B v6: 1,900 sampled requests across 15 datasets, with zero errors or unsupported requests. The comparison with published entrants is in experiments/jet-4b-evaluation/results.md. The full-benchmark expansion and the remaining blockers to an overall score are in experiments/jet-4b-full-index/.
• Jet 0.6B (jet-1, 2026-09-23): a partial public rebuild of 23,113 requests over eight benchmarks, and a compatibility pass (26/26). Coverage is in docs/bench/decision-index/coverage.json; diagnostic-8k.json is an incomplete snapshot of a run that was stopped early.

Blockers to a self-run overall score

• multimodalart/decision-index-suite returns HTTP 404 (apolinario/decision-index#1).
• HLE (cais/hle) needs gated-dataset access.
• The public reproduction kit lacks release-v2 recipes for several panel additions. Without the matching corpus, any subset average is not comparable to the index.

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