whatmodel.sh / decision / AutoTrust-JEV-27B v1.1

AutoTrust-JEV-27B v1.1

+ contribute

AutoTrust-JEV-27B v1.1 is an open-weights decision model from AutoTrust AI Lab, released 17 October 2026. Its published size is 27.36B parameters. Licence: apache-2.0.

Catalogue identity notes

Exact Decision Index tested engine autotrust-jev-27b-v11; reported model AutoTrust-JEV-27B v1.1. Type: full fine-tune; technique: autoregressive. Comparison entry; no current run command, API price or speed inferred from the benchmark. Current repository metadata checked separately; an unpinned alias is not evidence that today’s weights reproduce this historical run.

Model information sources

Release date ↗ · Weights licence ↗ · Parameter count ↗

Publisher parameter count; includes the served backbone, not just adapter size.

69.7±1.4#18 of 355 decision modelsfrom 54 benchmark results across 2 sources

$ how it compares

The decision models ranked either side of AutoTrust-JEV-27B v1.1, out of 357 with a score, then more from AutoTrust AI Lab.

#	model	score	where	released
16	Turion Jev 31B Turion.AI	70±1	model files
17	Perplexity Decider v1.2 (27B) Perplexity	70±1	model files
18	AutoTrust-JEV-27B v1.1 AutoTrust AI Lab	70±1	model files	2026-10-17
19	MISA AI 2.0 Decision Plus · oak 1.1 (31B) MISA JSC	70±2	model files
20	vera-large scar-ai	70±2	model files
	more from AutoTrust AI Lab
69	JEV-27B-VL AutoTrust AI Lab	64±4	model files
83	JEV-35B AutoTrust AI Lab	63±1	model files
98	GEV-26B-Decide AutoTrust AI Lab	61±1	model files

see all decision models · find the ones that fit your machine

$ what it's good at

tools & automation▁▃▁▁▁▂▃▄▆██▆ #59 of 250 · 4.6% of its score · 6 tests

Trails baselabs joey-1 (2B), Solomon v1.1, Amber Hybrid 4B (decision readout) here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: API-Bank (accuracy) submitted	87.6% ✎	▁▁▁▁▁▁▁▂▃▂█▃ beats 215/236	easy · avg 70%	▇ 1.3%	sharp · noisy
Decision Index 0.4.1: ToolRet (nDCG@10) submitted	68.7% ✎	▁▁▁▁▁·▁▁▁▄█▁ beats 215/246	medium · avg 60%	▇ 1.0%	blunt · at its level
Decision Index 0.4.1: Home appliance simulator (case exact accuracy) submitted	89.8% ✎	█▁▁▃▄▄▆▄▃▂▁▃ beats 206/243	medium · avg 37%	▇ 0.8%	sharp · noisy
Decision Index 0.4.1: When2Call (accuracy) submitted	89.5% ✎	▁▁▁▂▃▅▅▆█▇█▃ beats 209/246	easy · avg 72%	▇ 0.8%	noisy
Decision Index 0.4.1: BFCL (case exact accuracy) submitted	97.2% ✎	▁▂▁▁▁▂▂▄▅▆█▁ beats 187/246	very easy · avg 92%	▇ 0.7%	sharp · maxed out · noisy
Decision Index 0.4.1: RouterBench (selected quality (quality objective)) submitted	79.8% ✎	no other model yet		—	failed run: Publisher excludes this protocol because its prompt reveals GPT-4 as the best route. Evidence: https://huggingface.co/spaces/multimodalart/jev-decision-index/blob/c130faf65f82e81d3bdefb01e758c712dc5c5199/data/index.json

retrieval & classification▁▁▁·▁▁▁▁▃▃█▅ #130 of 258 · 6.9% of its score · 7 tests

Trails vLLM-SR vela3-fast (Vela 3.0, 0.4B), crystal-0.8b, Kas 4B here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: BRIGHT (nDCG@10) submitted	49.2% ✎	▁▁▁▁▁▁▁▂▂▄▇█ beats 219/246	medium · avg 38%	▇ 2.9%	blunt · at its level
Decision Index 0.4.1: Amazon ESCI (macro-F1) submitted	52.1% ✎	▁▁▁▁▁▁▂▂▃▃█▅ beats 120/246	medium · avg 47%	▇ 2.5%	at its level
Decision Index 0.4.1: HoVer (accuracy) submitted	89.1% ✎	▆▆▇▅▄▄▃▇▄█▆▄ beats 234/246	easy · avg 74%	▇ 0.5%	blunt
Decision Index 0.4.1: PhishNChips phishing decisions (accuracy) submitted	72.0% ✎	█▅▅▄▃▂▁▁▁▁·▁ beats 138/245	easy · avg 70%	▇ 0.5%	noisy
Decision Index 0.4.1: BANKING77 (macro-F1) submitted	93.7% ✎	▁·▁▁▁▁▁▁▂█▇█ beats 232/238	easy · avg 79%	▇ 0.3%	noisy
Decision Index 0.4.1: CLINC150+OOS (macro-F1) submitted	97.1% ✎	▁▁▁▁▁▁▁▂▃▆█▄ beats 234/238	easy · avg 83%	▇ 0.2%	sharp · maxed out · noisy
Decision Index 0.4.1: SGD/SGD-X (macro-F1) submitted	46.5% ✎	no other model yet		—	failed run: Publisher reports a builder bug exposing dialogue turns after the classified turn; awaiting corrected rerun. Evidence: https://huggingface.co/spaces/multimodalart/jev-decision-index/blob/c130faf65f82e81d3bdefb01e758c712dc5c5199/data/index.json

language understanding▂▂▂▃▂▅▆▃█▆▄▃ #3 of 256 · 18% of its score · 9 tests

Beats Jeffan-31b-1710, Sieve 31B v3, Fastino GLiDE 1.2 here, though they rank higher overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: ANLI (macro-F1) submitted	79.8% ✎	▁▂▃▅▅█▃····▁ beats 233/246	medium · avg 60%	▇▇ 4.7%	typical
Decision Index 0.4.1: NLI4CT (macro-F1) submitted	87.5% ✎	▁▁▁▂▂▃▃▄▇▇█▄ beats 241/246	easy · avg 74%	▇▇ 4.4%	typical
Decision Index 0.4.1: iSarcasmEval (Sarcasm F1 · track A, English) submitted	66.0% ✎	▁·▁·▁▁▂▄▅█▇▄ beats 210/246	medium · avg 44%	▇ 2.5%	at its level
Decision Index 0.4.1: HellaSwag (accuracy) submitted	98.2% ✎	▂▄▂▂▄▇▃▇█▅▃▁ beats 242/246	very easy · avg 85%	▇ 2.1%	sharp · maxed out
Decision Index 0.4.1: ACOS (per-review F1) submitted	56.4% ✎	▁··▂▃▃▅▇█▇▃▃ beats 229/246	hard · avg 22%	▇ 1.7%	at its level · noisy
Decision Index 0.4.1: VAST (macro-F1) submitted	79.5% ✎	▁▁▁▂▅▄▄▂▄▆█▄ beats 216/246	medium · avg 62%	▇ 0.9%	typical
Decision Index 0.4.1: ContractNLI (macro-F1) submitted	82.6% ✎	▁▁▁▁▁▁▁▂▂▇▇█ beats 189/246	easy · avg 71%	▇ 0.8%	noisy
Decision Index 0.4.1: RAGTruth (F1 on hallucinated class) submitted	83.8% ✎	▁▁▁▁▁▁▁▁▁▃▆█ beats 216/246	easy · avg 66%	▇ 0.6%	noisy

1 more test

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: FinEntity (macro-F1) submitted	94.5% ✎	▁···▁▁▁▁▃▆█▃ beats 226/246	easy · avg 84%	▇ 0.4%	maxed out · noisy

arts & human taste▁▇▄▃▅▅█▅▄▂▁▁ #33 of 247 · 9.0% of its score · 6 tests

Beats Jeffan-31b-1710, vLLM-SR d3-turbo v1.1 (27B), Nace.AI Drex Max v1 (27B) here, though they rank higher overall. Trails Kas 4B, Xor 1.2, Clef-omni here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: New Yorker (accuracy) submitted	83.0% ✎	▁▁▂▃▃▃▇▅█▅▃▁ beats 235/246	medium · avg 61%	▇ 3.4%	typical
Decision Index 0.4.1: Humicroedit (accuracy) submitted	63.0% ✎	▁·▁▃▂▂▅█▄▂▁▁ beats 172/246	medium · avg 60%	▇ 2.1%	blunt · at its level
Decision Index 0.4.1: cfcolor (accuracy) submitted	64.9% ✎	▁········▁▇█ beats 177/246	medium · avg 60%	▇ 1.2%	blunt · at its level
Decision Index 0.4.1: POP909-CL (accuracy) submitted	62.7% ✎	▄▅▅▃▆▅▃▅▂▅▃█ beats 181/237	hard · avg 21%	▇ 1.2%	sharp · at its level · noisy
Decision Index 0.4.1: BPoMP (accuracy) submitted	96.4% ✎	▁█▄▄▅█▆▅▄▁▁▁ beats 214/246	easy · avg 83%	▇ 0.7%	sharp · maxed out · noisy
Decision Index 0.4.1: Habermas Machine (accuracy) submitted	42.8% ✎	▁▂▄█▇▅▁▁▄▄▁▁ beats 106/246	medium · avg 47%	▇ 0.4%	blunt · at its level

knowledge & reasoning▁▂▂▂▂▃▃▅▅▆█▂ #19 of 263 · 36% of its score · 14 tests

Beats StartLux-Decision v1.1 27B, KnowLine 35B-A3B Gen1.5, Bespoke Nimble v4 Max (27B) here, though they rank higher overall. Trails d1 (hosted), Jev 1.13, Matilda Decision v1 here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: MMLU-Pro (accuracy) submitted	73.6% ✎	▄▄▃▃▂▄▅▇██▅▁ beats 234/246	medium · avg 46%	▇▇▇▇ 10%	sharp · at its level
Decision Index 0.4.1: BBH (accuracy) submitted	86.2% ✎	▄▆▄▄█▇▇▄▃▁▁▁ beats 219/246	easy · avg 66%	▇▇ 4.8%	typical
Decision Index 0.4.1: MMLU (accuracy) submitted	88.7% ✎	▁▄▄▃▃▂▅▇▅█▇▁ beats 235/246	easy · avg 70%	▇▇ 4.7%	sharp
Decision Index 0.4.1: GPQA Diamond (accuracy) submitted	54.6% ✎	▂▆▅▅▆█▆▃▁··▁ beats 229/246	medium · avg 39%	▇▇ 3.8%	blunt · at its level
Decision Index 0.4.1: GSM8K (accuracy (4- and 10-choice)) submitted	85.0% ✎	▁··▄█▆▆▆▅▅▃▁ beats 232/246	medium · avg 45%	▇ 3.1%	sharp · at its level
Decision Index 0.4.1: WinoGrande (accuracy) submitted	95.3% ✎	█▅█▅▄█▆▄▃▃▁▁ beats 238/246	easy · avg 78%	▇ 2.2%	typical
Decision Index 0.4.1: SATA-Bench (case exact accuracy) submitted	37.9% ✎	▁▁▁▁▁▁▁▂▅█▂▁ beats 216/246	hard · avg 22%	▇ 2.0%	at its level
Decision Index 0.4.1: MuSR (accuracy) submitted	70.5% ✎	▁▁▂█▅▄▁▁▁▁▁▁ beats 218/246	medium · avg 60%	▇ 1.3%	blunt · at its level

6 more tests

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: ARC-Challenge (accuracy) submitted	97.1% ✎	▂▂▂▂▂▂▁▃▄▆█▆ beats 200/246	very easy · avg 90%	▇ 1.2%	sharp · maxed out
Decision Index 0.4.1: CRUXEval (accuracy) submitted	85.3% ✎	██▄▃▃▄▁▁···▁ beats 215/246	medium · avg 58%	▇ 1.0%	noisy
Decision Index 0.4.1: ChessBench (accuracy) submitted	21.1% ✎	▄▇▄▄▄▆▄█▄▁▁▁ beats 172/246	hard · avg 16%	▇ 1.0%	blunt
Decision Index 0.4.1: CLadder (accuracy) submitted	81.0% ✎	▁███▆▅▃▃▁▁▁▁ beats 184/246	easy · avg 71%	▇ 0.8%	typical
Decision Index 0.4.1: ARC-Easy (accuracy) submitted	99.3% ✎	▁▁▂▁▂▂▂▂▃▆█▅ beats 238/246	very easy · avg 96%	▇ 0.5%	sharp · maxed out · noisy
Decision Index 0.4.1: HLE (accuracy) submitted	17.0% ✎	▁▁▂▃▆█▇▅▅▃▁▁ beats 230/246	very hard · avg 13%	▇ 0.0%	blunt

vision▁·▃▂▃▃▇▄▄█▄▃ #20 of 79 · 15% of its score · 12 tests

Beats StartLux-Decision v1.1 27B, Nace.AI Drex Max v1 (27B) here, though they rank higher overall. Trails Clef-flash, Mercury Decide (free endpoint), Clef here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index Vision 0.4 · Mind2Web (chance-corrected points) submitted	84.5200 points ✎	▁·▁▁▃▁▄▄▃▅█▂ beats 50/61	avg 63.423 points	▇ 1.8%	blunt
Decision Index Vision 0.4 · MMMU-Pro vision (chance-corrected points) submitted	48.0900 points ✎	▁▁▅▁▄▁▄█▄▃▇▇ beats 60/61	avg 22.797 points	▇ 1.7%	blunt
Decision Index Vision 0.4 · Winoground (chance-corrected points) submitted	86.5000 points ✎	▁·▁▁▁▁·▂▁▃▅█ beats 56/61	avg 66.987 points	▇ 1.6%	blunt
Decision Index Vision 0.4: private same skills (points)	69.3500 points ✎	▁▁▃▃▁▂▄▆▃▃▅█ beats 59/61	avg 48.067 points	▇ 1.6%	blunt
Decision Index Vision 0.4 · Moderation (Hateful Memes) (chance-corrected points) submitted	44.1100 points ✎	▆▃▃▆▄▄▇██▁▆▆ beats 46/61	avg 28.443 points	▇ 1.3%	blunt
Decision Index Vision 0.4 · RealWorldQA (chance-corrected points) submitted	70.8700 points ✎	▁·▂▂▁▃▃▅▅▃▃█ beats 45/61	avg 53.651 points	▇ 1.2%	blunt
Decision Index Vision 0.4 · CharXiv (chance-corrected points) submitted	80.2000 points ✎	▂▁▁▁▁▃▁▅▅▆██ beats 52/61	avg 62.137 points	▇ 1.2%	blunt
Decision Index Vision 0.4 · InfographicVQA (chance-corrected points) submitted	98.9100 points ✎	▁·▁▂▁▁▃▁▂▂▅█ beats 59/61	avg 83.859 points	▇ 1.0%	blunt

4 more tests

test	result	vs the others in its run	difficulty	counts	why
Decision Index Vision 0.4 · R-Bench-M (chance-corrected points) submitted	39.0000 points ✎	▂▄▇▆█▄▄▇▂··▁ beats 56/61	avg 19.676 points	▇ 1.0%	blunt
Decision Index Vision 0.4 · BLINK (chance-corrected points) submitted	59.2400 points ✎	▁···▁▂▂▂█▄▂▃ beats 41/61	avg 44.994 points	▇ 0.9%	blunt
Decision Index Vision 0.4 · CV-Bench (chance-corrected points) submitted	77.3300 points ✎	▁▁▁▁▂▁▁▁▄█▃▃ beats 48/61	avg 67.662 points	▇ 0.7%	blunt
Decision Index Vision 0.4 · KIE (CORD+FUNSD) (chance-corrected points) submitted	92.5900 points ✎	▁··▁▁▁▁▁▂▄█▁ beats 47/61	avg 85.184 points	▇ 0.5%	blunt

other tests2 not in a task · 10% of its score

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: private same skills (equated points)	63.7700 points ✎	▂▂▂▃▃▃▄▅▅▇█▃ beats 233/247	avg 41.206 points	▇▇▇ 6.3%	blunt
Decision Index 0.4.1: private new domains (equated points)	74.2200 points ✎	▃█▃▃▂▆▃▃▄▄▄▄ beats 235/247	avg 38.861 points	▇ 3.5%	blunt

$ where to run it

Download model files ↗
Published model files verified. This is a verified repository snapshot; the benchmark does not establish an identical weight revision. A local run command and hardware requirements have not been verified for this entry. Source · checked 2026-10-31.

Model repository and documentation: huggingface.co/autotrust ↗

$ how the score was worked out · Decision Index 0.4.1 85%, Decision Index Vision 0.4 15%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

source	results	share of the score	licence
Decision Index 0.4.1 · submitted; independent execution unverified	42	▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 85%	CC BY 4.0
Decision Index Vision 0.4 · submitted; independent execution unverified	12	▇▇▇▇ 15%	CC BY 4.0
prior · pull toward the middle		▇ 1%
weighted average		= 69.7

not counted (2)

Decision Index 0.4.1	Decision Index 0.4.1: RouterBench (selected quality (quality objective)) [correct]	79.8%	failed run: Publisher excludes this protocol because its prompt reveals GPT-4 as the best route. Evidence: https://huggingface.co/spaces/multimodalart/jev-decision-index/blob/c130faf65f82e81d3bdefb01e758c712dc5c5199/data/index.json
Decision Index 0.4.1	Decision Index 0.4.1: SGD/SGD-X (macro-F1) [correct]	46.5%	failed run: Publisher reports a builder bug exposing dialogue turns after the classified turn; awaiting corrected rerun. Evidence: https://huggingface.co/spaces/multimodalart/jev-decision-index/blob/c130faf65f82e81d3bdefb01e758c712dc5c5199/data/index.json

$ improve this page

Update model information Add a place to run it Add a test result Propose a benchmark Correct a benchmark score Edit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated 2026-11-03 02:37 UTC · sources and licences · json