WeMM-JEV-27B

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WeMM-JEV-27B is an open-weights decision model from Rover00. Its published size is 26.09B parameters. Licence: apache-2.0.

Catalogue identity notes

Exact Decision Index tested engine wemm-jev-27b; reported model WeMM-JEV-27B. 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

· Weights licence ↗ · Parameter count ↗

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

70.8±1.4#11 of 355 decision modelsfrom 54 benchmark results across 2 sources

$ how it compares

The decision models ranked either side of WeMM-JEV-27B, out of 357 with a score.

#	model	score	where	released
9	vLLM-SR d3-turbo v1.1 (27B) vLLM Semantic Router	72±1	model files
10	Perplexity Decider v1.1 (27B) Perplexity	72±1	api price unknown	2026-10-05
11	WeMM-JEV-27B Rover00	71±1	model files
12	KnowLine 35B-A3B Gen1.5 PelaAI	71±2	model files	2026-10-22
13	H2O Lightning 31B v1.1 H2O.ai	70±2	request access

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

$ what it's good at

tools & automation▁▃▁▁▁▂▃▄▆██▆ #15 of 250 · 4.4% of its score · 6 tests

Beats Jeffan-31b-1710, Sieve 31B v3, Fastino GLiDE 1.2 here, though they rank higher overall. Trails Solomon v1.1, Clef-flash, Clef-omni 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	88.2% ✎	▁▁▁▁▁▁▁▂▃▂█▃ beats 220/236	easy · avg 70%	▇ 1.3%	sharp · noisy
Decision Index 0.4.1: ToolRet (nDCG@10) submitted	69.0% ✎	▁▁▁▁▁·▁▁▁▄█▁ beats 219/246	medium · avg 60%	▇ 1.0%	blunt · at its level
Decision Index 0.4.1: When2Call (accuracy) submitted	84.5% ✎	▁▁▁▂▃▅▅▆█▇█▃ beats 168/246	easy · avg 72%	▇ 0.8%	noisy
Decision Index 0.4.1: Home appliance simulator (case exact accuracy) submitted	98.9% ✎	█▁▁▃▄▄▆▄▁▂▁▃ beats 221/243	medium · avg 37%	▇ 0.7%	sharp · noisy
Decision Index 0.4.1: BFCL (case exact accuracy) submitted	97.9% ✎	▁▂▁▁▁▂▂▄▅▆█▁ beats 225/246	very easy · avg 92%	▇ 0.6%	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▁▁▁·▁▁▁▁▃▃█▅ #4 of 258 · 7.0% of its score · 7 tests

Beats Jeffan-31b-1710, Fastino GLiDE 1.2, KnowLine 31B Gen1 here, though they rank higher overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: BRIGHT (nDCG@10) submitted	51.4% ✎	▁▁▁▁▁▁▁▂▂▄▇█ beats 244/246	medium · avg 38%	▇ 3.0%	blunt · at its level
Decision Index 0.4.1: Amazon ESCI (macro-F1) submitted	64.1% ✎	▁▁▁▁▁▁▂▂▃▃█▅ beats 243/246	medium · avg 47%	▇ 2.5%	at its level
Decision Index 0.4.1: HoVer (accuracy) submitted	90.2% ✎	▆▆▇▅▄▄▃▇▄█▆▄ beats 244/246	easy · avg 74%	▇ 0.5%	blunt
Decision Index 0.4.1: PhishNChips phishing decisions (accuracy) submitted	77.8% ✎	█▅▅▄▃▂▁▁▁▁·▁ beats 161/245	easy · avg 70%	▇ 0.5%	noisy
Decision Index 0.4.1: BANKING77 (macro-F1) submitted	84.8% ✎	▁·▁▁▁▁▁▁▂█▇█ beats 133/238	easy · avg 79%	▇ 0.3%	noisy
Decision Index 0.4.1: CLINC150+OOS (macro-F1) submitted	96.5% ✎	▁▁▁▁▁▁▁▂▃▆█▄ beats 229/238	easy · avg 83%	▇ 0.2%	sharp · maxed out · noisy
Decision Index 0.4.1: SGD/SGD-X (macro-F1) submitted	67.1% ✎	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▂▂▂▃▂▅▆▃█▆▄▃ #28 of 256 · 18% of its score · 9 tests

Beats KnowLine 31B Gen1, Ainvest-Decision-27B v1.0 here, though they rank higher overall. Trails Clef-flash, Clef-omni, JEV-35B here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: ANLI (macro-F1) submitted	77.0% ✎	▁▂▃▅▅█▂····▁ beats 213/246	medium · avg 60%	▇▇ 4.7%	typical
Decision Index 0.4.1: NLI4CT (macro-F1) submitted	86.8% ✎	▁▁▁▂▂▃▃▄▇▇█▄ beats 236/246	easy · avg 74%	▇▇ 4.3%	typical
Decision Index 0.4.1: iSarcasmEval (Sarcasm F1 · track A, English) submitted	66.7% ✎	▁·▁·▁▁▂▄▅█▇▄ beats 213/246	medium · avg 44%	▇ 2.5%	at its level
Decision Index 0.4.1: HellaSwag (accuracy) submitted	96.7% ✎	▂▄▂▂▄▇▃▇█▅▃▁ beats 220/246	very easy · avg 85%	▇ 2.0%	sharp · maxed out
Decision Index 0.4.1: ACOS (per-review F1) submitted	65.2% ✎	▁··▂▃▃▅▇█▇▃▃ beats 243/246	hard · avg 22%	▇ 1.8%	at its level · noisy
Decision Index 0.4.1: VAST (macro-F1) submitted	80.5% ✎	▁▁▁▂▅▄▄▂▄▆█▄ beats 227/246	medium · avg 62%	▇ 0.9%	typical
Decision Index 0.4.1: ContractNLI (macro-F1) submitted	82.1% ✎	▁▁▁▁▁▁▁▂▂▇▇█ beats 181/246	easy · avg 71%	▇ 0.8%	noisy
Decision Index 0.4.1: RAGTruth (F1 on hallucinated class) submitted	86.0% ✎	▁▁▁▁▁▁▁▁▁▃▆█ beats 242/246	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	94.2% ✎	▁···▁▁▁▁▃▆█▃ beats 214/246	easy · avg 84%	▇ 0.4%	maxed out · noisy

arts & human taste▁▇▄▃▅▅█▅▄▂▁▁ #32 of 247 · 9.0% of its score · 6 tests

Beats Jeffan-31b-1710, vLLM-SR d3-turbo v1.1 (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	81.3% ✎	▁▁▂▃▃▃▇▅█▅▃▁ beats 227/246	medium · avg 61%	▇ 3.4%	typical
Decision Index 0.4.1: Humicroedit (accuracy) submitted	62.2% ✎	▁·▁▃▂▂▅█▄▂▁▁ beats 154/246	medium · avg 60%	▇ 2.2%	blunt · at its level
Decision Index 0.4.1: cfcolor (accuracy) submitted	64.9% ✎	▁········▁▇█ beats 179/246	medium · avg 60%	▇ 1.2%	blunt · at its level
Decision Index 0.4.1: POP909-CL (accuracy) submitted	69.1% ✎	▄▅▅▃▆▅▃▅▂▅▃█ beats 195/237	hard · avg 21%	▇ 1.2%	sharp · at its level · noisy
Decision Index 0.4.1: BPoMP (accuracy) submitted	96.5% ✎	▁█▄▄▅█▆▅▄▁▁▁ beats 215/246	easy · avg 83%	▇ 0.6%	sharp · maxed out · noisy
Decision Index 0.4.1: Habermas Machine (accuracy) submitted	46.6% ✎	▁▂▄█▇▅▁▁▄▄▁▁ beats 154/246	medium · avg 47%	▇ 0.4%	blunt · at its level

knowledge & reasoning▁▂▂▂▂▃▃▅▅▆█▂ #16 of 263 · 36% of its score · 14 tests

Beats StartLux-Decision v1.1 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	73.9% ✎	▄▄▃▃▂▄▅▇██▅▁ beats 236/246	medium · avg 46%	▇▇▇▇ 10%	sharp
Decision Index 0.4.1: BBH (accuracy) submitted	89.7% ✎	▄▆▄▄█▇▇▄▃▁▁▁ beats 235/246	easy · avg 66%	▇▇ 4.8%	typical
Decision Index 0.4.1: MMLU (accuracy) submitted	88.1% ✎	▁▄▄▃▃▂▅▇▅█▇▁ beats 227/246	easy · avg 70%	▇▇ 4.5%	sharp
Decision Index 0.4.1: GPQA Diamond (accuracy) submitted	50.5% ✎	▂▆▅▅▆█▆▃▁··▁ beats 197/246	medium · avg 39%	▇▇ 3.9%	blunt · at its level
Decision Index 0.4.1: GSM8K (accuracy (4- and 10-choice)) submitted	80.9% ✎	▁··▄█▆▆▆▅▅▃▁ beats 223/246	medium · avg 45%	▇ 3.1%	sharp
Decision Index 0.4.1: WinoGrande (accuracy) submitted	94.6% ✎	█▅█▅▄█▆▄▃▃▁▁ beats 229/246	easy · avg 78%	▇ 2.2%	typical
Decision Index 0.4.1: SATA-Bench (case exact accuracy) submitted	40.8% ✎	▁▁▁▁▁▁▁▂▅█▃▁ beats 229/246	hard · avg 22%	▇ 2.1%	at its level
Decision Index 0.4.1: MuSR (accuracy) submitted	73.7% ✎	▁▁▂█▅▄▃▁▁▁▁▁ beats 229/246	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	97.4% ✎	▂▂▂▂▂▂▁▃▄▆█▆ beats 216/246	very easy · avg 90%	▇ 1.1%	sharp · maxed out
Decision Index 0.4.1: ChessBench (accuracy) submitted	31.6% ✎	▄▇▄▄▄▆▄█▄▁▃▁ beats 241/246	hard · avg 16%	▇ 1.0%	blunt
Decision Index 0.4.1: CRUXEval (accuracy) submitted	85.3% ✎	██▄▃▃▄▁▁···▁ beats 214/246	medium · avg 58%	▇ 1.0%	noisy
Decision Index 0.4.1: CLadder (accuracy) submitted	96.4% ✎	▁███▆▅▃▃▁▁▃▁ beats 243/246	easy · avg 71%	▇ 0.8%	typical
Decision Index 0.4.1: ARC-Easy (accuracy) submitted	99.3% ✎	▁▁▂▁▂▂▂▂▃▆█▅ beats 234/246	very easy · avg 96%	▇ 0.4%	sharp · maxed out · noisy
Decision Index 0.4.1: HLE (accuracy) submitted	18.0% ✎	▁▁▂▃▆█▇▅▅▃▃▁ beats 240/246	very hard · avg 13%	▇ 0.0%	blunt

vision▁·▃▂▃▃▇▄▄█▄▃ #11 of 79 · 15% of its score · 12 tests

Beats Fastino GLiDE 1.2, StartLux-Decision v1.1 27B, vLLM-SR d3-turbo v1.1 (27B) here, though they rank higher overall. Trails Mercury Decide (free endpoint), Clef, Jev 1.14 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	85.8900 points ✎	▁·▁▁▃▁▄▄▃▅█▂ beats 54/61	avg 63.423 points	▇ 1.9%	blunt
Decision Index Vision 0.4 · MMMU-Pro vision (chance-corrected points) submitted	46.2300 points ✎	▁▁▅▁▄▁▄█▄▃▇▇ beats 56/61	avg 22.797 points	▇ 1.8%	blunt
Decision Index Vision 0.4 · Winoground (chance-corrected points) submitted	87.0000 points ✎	▁·▁▁▁▁·▂▁▃▅█ beats 58/61	avg 66.987 points	▇ 1.6%	blunt
Decision Index Vision 0.4: private same skills (points)	69.7000 points ✎	▁▁▃▃▁▂▄▆▃▃▅█ beats 61/61	avg 48.067 points	▇ 1.6%	blunt
Decision Index Vision 0.4 · Moderation (Hateful Memes) (chance-corrected points) submitted	52.5100 points ✎	▆▃▃▆▄▄▇██▁▆▆ beats 52/61	avg 28.443 points	▇ 1.4%	blunt
Decision Index Vision 0.4 · RealWorldQA (chance-corrected points) submitted	74.2000 points ✎	▁·▂▂▁▃▃▅▅▃▂█ beats 57/61	avg 53.651 points	▇ 1.3%	blunt
Decision Index Vision 0.4 · CharXiv (chance-corrected points) submitted	81.7000 points ✎	▂▁▁▁▁▃▁▅▅▆██ beats 58/61	avg 62.137 points	▇ 1.2%	blunt
Decision Index Vision 0.4 · InfographicVQA (chance-corrected points) submitted	98.3600 points ✎	▁·▁▂▁▁▃▁▂▂▅█ beats 56/61	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	38.4600 points ✎	▂▄▇▆█▄▄▇▂··▁ beats 54/61	avg 19.676 points	▇ 1.0%	blunt
Decision Index Vision 0.4 · BLINK (chance-corrected points) submitted	74.2200 points ✎	▁···▁▂▂▂█▄▂▃ beats 58/61	avg 44.994 points	▇ 0.9%	blunt
Decision Index Vision 0.4 · CV-Bench (chance-corrected points) submitted	81.3800 points ✎	▁▁▁▁▂▁▁▁▄█▃▃ beats 58/61	avg 67.662 points	▇ 0.7%	blunt
Decision Index Vision 0.4 · KIE (CORD+FUNSD) (chance-corrected points) submitted	93.7900 points ✎	▁··▁▁▁▁▁▂▄█▁ beats 60/61	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)	65.0900 points ✎	▂▂▂▃▃▃▄▅▅▇█▃ beats 239/247	avg 41.206 points	▇▇▇ 6.5%	blunt
Decision Index 0.4.1: private new domains (equated points)	73.6000 points ✎	▃█▃▃▂▆▃▃▄▄▄▄ beats 230/247	avg 38.861 points	▇ 3.6%	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/Rover00 ↗

$ how the score was worked out · Decision Index 0.4.1 84%, 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	▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 84%	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		= 70.8

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]	67.1%	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

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