OneShot 27B

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OneShot 27B is an open-weights decision model from OneShot. Its published size is 27.78B parameters.

Catalogue identity notes

Exact Decision Index tested engine oneshot-27b; reported model OneShot 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

· Parameter count ↗

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

68.1±1.5#30 of 355 decision modelsfrom 42 benchmark results across 1 source

$ how it compares

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

#	model	score	where
28	AnyJev Tacitus 31B morriszjm	69±2	model files
29	StartLux-Decision v1.1 9B StartLux	68±1	model files
30	OneShot 27B OneShot	68±2	model files
31	Matilda Decision v1 Maincode	68±2	model files
32	d1.1 (hosted) Liquid AI	68±2	api price unknown

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

$ what it's good at

tools & automation▁▃▁▁▁▂▃▄▆██▆ #65 of 250 · 5.6% of its score · 6 tests

Trails baselabs joey-1 (2B), Solomon v1.1, Amber 4B 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	86.8% ✎	▁▁▁▁▁▁▁▂▃▂█▂ beats 204/236	easy · avg 70%	▇ 1.6%	sharp · noisy
Decision Index 0.4.1: ToolRet (nDCG@10) submitted	65.7% ✎	▁▁▁▁▁·▁▁▁▄█▁ beats 152/246	medium · avg 60%	▇ 1.2%	blunt · at its level
Decision Index 0.4.1: Home appliance simulator (case exact accuracy) submitted	78.4% ✎	█▁▁▃▄▄▆▄▁▂▁▃ beats 187/243	medium · avg 37%	▇ 1.0%	sharp · noisy
Decision Index 0.4.1: When2Call (accuracy) submitted	88.2% ✎	▁▁▁▂▃▅▅▆█▇█▃ beats 198/246	easy · avg 72%	▇ 0.9%	noisy
Decision Index 0.4.1: BFCL (case exact accuracy) submitted	97.0% ✎	▁▂▁▁▁▂▂▄▅▆█▁ beats 181/246	very easy · avg 92%	▇ 0.9%	sharp · maxed out · noisy
Decision Index 0.4.1: RouterBench (selected quality (quality objective)) submitted	79.6% ✎	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▁▁▁·▁▁▁▁▃▃█▅ #8 of 258 · 7.9% of its score · 7 tests

Beats Fastino GLiDE 1.2, KnowLine 31B Gen1, Ainvest-Decision-27B v1.0 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	48.6% ✎	▁▁▁▁▁▁▁▂▂▄▇█ beats 211/246	medium · avg 38%	▇ 3.3%	blunt · at its level
Decision Index 0.4.1: Amazon ESCI (macro-F1) submitted	62.9% ✎	▁▁▁▁▁▁▂▂▃▃█▅ beats 239/246	medium · avg 47%	▇ 2.8%	at its level
Decision Index 0.4.1: HoVer (accuracy) submitted	81.8% ✎	▆▆▇▅▄▄▃▇▄█▆▄ beats 161/246	easy · avg 74%	▇ 0.6%	blunt
Decision Index 0.4.1: PhishNChips phishing decisions (accuracy) submitted	72.7% ✎	█▅▅▄▃▂▁▁▁▁·▁ beats 142/245	easy · avg 70%	▇ 0.6%	noisy
Decision Index 0.4.1: BANKING77 (macro-F1) submitted	86.0% ✎	▁·▁▁▁▁▁▁▂█▇█ beats 144/238	easy · avg 79%	▇ 0.3%	noisy
Decision Index 0.4.1: CLINC150+OOS (macro-F1) submitted	95.1% ✎	▁▁▁▁▁▁▁▂▃▆█▄ beats 205/238	easy · avg 83%	▇ 0.3%	sharp · maxed out · noisy
Decision Index 0.4.1: SGD/SGD-X (macro-F1) submitted	7.2% ✎	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▂▂▂▃▂▅▆▃█▆▄▃ #22 of 256 · 21% of its score · 9 tests

Beats KnowLine 31B Gen1, Ainvest-Decision-27B v1.0, WeMM-JEV-27B here, though they rank higher overall. Trails Clef-flash, Clef-omni, Clef 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	80.5% ✎	▁▂▃▅▅█▃····▁ beats 241/246	medium · avg 60%	▇▇ 5.5%	typical
Decision Index 0.4.1: NLI4CT (macro-F1) submitted	86.5% ✎	▁▁▁▂▂▃▃▄▇▇█▄ beats 234/246	easy · avg 74%	▇▇ 5.1%	typical
Decision Index 0.4.1: iSarcasmEval (Sarcasm F1 · track A, English) submitted	63.5% ✎	▁·▁·▁▁▂▄▅█▇▄ beats 202/246	medium · avg 44%	▇ 2.8%	at its level
Decision Index 0.4.1: HellaSwag (accuracy) submitted	97.0% ✎	▂▄▂▂▄▇▃▇█▅▃▁ beats 226/246	very easy · avg 85%	▇ 2.7%	sharp · maxed out
Decision Index 0.4.1: ACOS (per-review F1) submitted	42.8% ✎	▁··▂▃▃▅▇█▇▃▃ beats 210/246	hard · avg 22%	▇ 1.9%	at its level · noisy
Decision Index 0.4.1: VAST (macro-F1) submitted	79.8% ✎	▁▁▁▂▅▄▄▂▄▆█▄ beats 223/246	medium · avg 62%	▇ 1.1%	typical
Decision Index 0.4.1: ContractNLI (macro-F1) submitted	82.9% ✎	▁▁▁▁▁▁▁▂▂▇▇█ beats 193/246	easy · avg 71%	▇ 1.0%	noisy
Decision Index 0.4.1: RAGTruth (F1 on hallucinated class) submitted	84.0% ✎	▁▁▁▁▁▁▁▁▁▃▆█ beats 222/246	easy · avg 66%	▇ 0.7%	noisy

1 more test

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: FinEntity (macro-F1) submitted	92.6% ✎	▁···▁▁▁▁▃▆█▃ beats 182/246	easy · avg 84%	▇ 0.5%	maxed out · noisy

arts & human taste▁▇▄▃▅▅█▅▄▂▁▁ #48 of 247 · 10% 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, baselabs joey-1 (2B), Clef-flash 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	73.7% ✎	▁▁▂▃▃▃▇▅█▅▃▁ beats 174/246	medium · avg 61%	▇▇ 4.0%	typical
Decision Index 0.4.1: Humicroedit (accuracy) submitted	64.6% ✎	▁·▁▃▂▂▅█▄▂▁▁ beats 199/246	medium · avg 60%	▇ 2.4%	blunt · at its level
Decision Index 0.4.1: POP909-CL (accuracy) submitted	55.5% ✎	▄▅▅▃▆▅▃▅▂▅▃█ beats 170/237	hard · avg 21%	▇ 1.4%	sharp · at its level · noisy
Decision Index 0.4.1: cfcolor (accuracy) submitted	66.4% ✎	▁········▁▇█ beats 216/246	medium · avg 60%	▇ 1.4%	blunt · at its level
Decision Index 0.4.1: BPoMP (accuracy) submitted	95.4% ✎	▁█▄▄▅█▆▅▄▁▁▁ beats 199/246	easy · avg 83%	▇ 0.8%	sharp · maxed out · noisy
Decision Index 0.4.1: Habermas Machine (accuracy) submitted	64.9% ✎	▁▂▄█▇▅▁▁▄▄▁▁ beats 237/246	medium · avg 47%	▇ 0.4%	blunt · at its level

knowledge & reasoning▁▂▂▂▂▃▃▅▅▆█▂ #38 of 263 · 43% of its score · 14 tests

Beats vera-large, KnowLine 26B-A4B Gen2.5, OneJev1.6-27B here, though they rank higher overall. Trails Solar Decide, Clef-omni, GPT-6 Luna Decisions 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	70.2% ✎	▄▄▃▃▂▄▅▇██▅▁ beats 208/246	medium · avg 46%	▇▇▇▇▇ 11%	sharp · at its level
Decision Index 0.4.1: BBH (accuracy) submitted	84.0% ✎	▄▆▄▄█▇▇▄▃▁▁▁ beats 211/246	easy · avg 66%	▇▇ 5.8%	typical
Decision Index 0.4.1: MMLU (accuracy) submitted	87.7% ✎	▁▄▄▃▃▂▅▇▅█▇▁ beats 216/246	easy · avg 70%	▇▇ 5.6%	sharp
Decision Index 0.4.1: GPQA Diamond (accuracy) submitted	50.5% ✎	▂▆▅▅▆█▆▃▁··▁ beats 196/246	medium · avg 39%	▇▇ 4.3%	blunt · at its level
Decision Index 0.4.1: GSM8K (accuracy (4- and 10-choice)) submitted	78.8% ✎	▁··▄█▆▆▆▅▅▃▁ beats 221/246	medium · avg 45%	▇ 3.7%	sharp · at its level
Decision Index 0.4.1: WinoGrande (accuracy) submitted	94.1% ✎	█▅█▅▄█▆▄▃▃▁▁ beats 227/246	easy · avg 78%	▇ 2.6%	typical
Decision Index 0.4.1: SATA-Bench (case exact accuracy) submitted	30.7% ✎	▁▁▁▁▁▁▁▂▅█▂▁ beats 154/246	hard · avg 22%	▇ 2.3%	at its level
Decision Index 0.4.1: ARC-Challenge (accuracy) submitted	96.9% ✎	▂▂▂▂▂▂▁▃▄▆█▆ beats 189/246	very easy · avg 90%	▇ 1.6%	sharp · maxed out

6 more tests

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: MuSR (accuracy) submitted	71.3% ✎	▁▁▂█▅▄▃▁▁▁▁▁ beats 223/246	medium · avg 60%	▇ 1.5%	blunt · at its level
Decision Index 0.4.1: CRUXEval (accuracy) submitted	88.4% ✎	██▄▃▃▄▁▁···▁ beats 234/246	medium · avg 58%	▇ 1.2%	noisy
Decision Index 0.4.1: ChessBench (accuracy) submitted	21.7% ✎	▄▇▄▄▄▆▄█▄▁▁▁ beats 183/246	hard · avg 16%	▇ 1.1%	blunt
Decision Index 0.4.1: CLadder (accuracy) submitted	80.5% ✎	▁███▆▅▃▃▁▁▁▁ beats 176/246	easy · avg 71%	▇ 1.0%	typical
Decision Index 0.4.1: ARC-Easy (accuracy) submitted	99.2% ✎	▁▁▂▁▂▂▂▂▃▆█▅ beats 218/246	very easy · avg 96%	▇ 0.6%	sharp · maxed out · noisy
Decision Index 0.4.1: HLE (accuracy) submitted	15.0% ✎	▁▁▂▃▆█▇▅▅▃▁▁ beats 197/246	very hard · avg 13%	▇ 0.0%	blunt

other tests2 not in a task · 11% of its score

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: private same skills (equated points)	61.7100 points ✎	▂▂▂▃▃▃▄▅▅▇█▃ beats 216/247	avg 41.206 points	▇▇▇ 7.1%	blunt
Decision Index 0.4.1: private new domains (equated points)	71.7800 points ✎	▃█▃▃▂▆▃▃▄▄▄▄ beats 217/247	avg 38.861 points	▇▇ 3.9%	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/OneShotOrg ↗

$ how the score was worked out · Decision Index 0.4.1 99%

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	▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 99%	CC BY 4.0
prior · pull toward the middle		▇ 1%
weighted average		= 68.1

not counted (2)

Decision Index 0.4.1	Decision Index 0.4.1: RouterBench (selected quality (quality objective)) [correct]	79.6%	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]	7.2%	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