JevK5 Lite

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JevK5 Lite is an open-weights decision model from alibiserikbay. Its published size is 0.3B parameters. Licence: apache-2.0.

Catalogue identity notes

Exact Decision Index tested engine jevk5-lite; reported model JevK5 Lite. Type: full fine-tune; technique: encoder. 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.

25.4±1.0#326 of 355 decision modelsfrom 39 benchmark results across 1 source

$ how it compares

The decision models ranked either side of JevK5 Lite, out of 357 with a score, then more from alibiserikbay.

#	model	score	where	released
326	gliner2-large-v1 (DecisionBench f32ea6ef) Fastino	26±2	model files
327	rlcd-modernbert-151m (DecisionBench 8af2496e) heman10x	26±2	model files
328	JevK5 Lite alibiserikbay	25±1	model files
329	Von 1.3 wfzyx	25±1	model files	2026-09-28
330	Bosun v3.1 0.6B LoRA Hanno Labs	25±1	model files	2026-09-22
	more from alibiserikbay
167	JevK5 9B v0.3.3 alibiserikbay	54±1	model files
206	JevK5 v0.3 alibiserikbay	50±1	model files

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

$ what it's good at

tools & automation▁▃▁▁▁▂▃▄▆██▆ #139 of 250 · 8.4% of its score · 3 tests

Beats Cerno 4B v1.1, Trio-Spark DI (9B), Decider 35B-A3B here, though they rank higher overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: BFCL (case exact accuracy) submitted	93.3% ✎	▁▂▁▁▁▂▂▄▅▆█▁ beats 112/246	very easy · avg 92%	▇▇▇ 6.7%	sharp · at its level · noisy
Decision Index 0.4.1: When2Call (accuracy) submitted	20.4% ✎	▁▃▁▂▃▅▅▆█▇█▃ beats 7/246	easy · avg 72%	▇ 1.0%	at its level · noisy
Decision Index 0.4.1: ToolRet (nDCG@10) submitted	19.3% ✎	▁▁▁▃▁·▁▁▁▄█▁ beats 12/246	medium · avg 60%	▇ 0.7%	blunt · at its level

retrieval & classification▃▁▁·▁▁▁▁▃▃█▅ #257 of 258 · 4.6% of its score · 6 tests

Trails Zev (decision readout), LFM2.5-350M-RLCD, Nirnaya 0.4B here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: Amazon ESCI (macro-F1) submitted	6.7% ✎	▁▃▁▁▁▁▂▂▃▃█▅ beats 1/246	medium · avg 47%	▇ 1.3%	at its level
Decision Index 0.4.1: BRIGHT (nDCG@10) submitted	13.0% ✎	▁▁▃▁▁▁▁▂▂▄▇█ beats 8/246	medium · avg 38%	▇ 1.2%	blunt
Decision Index 0.4.1: CLINC150+OOS (macro-F1) submitted	71.1% ✎	▁▁▁▁▁▁▁▂▃▆█▄ beats 42/238	easy · avg 83%	▇ 0.6%	sharp · at its level · noisy
Decision Index 0.4.1: HoVer (accuracy) submitted	51.1% ✎	▆▆▇▅▄▄▃▇▄█▆▄ beats 13/246	easy · avg 74%	▇ 0.6%	blunt · at its level
Decision Index 0.4.1: PhishNChips phishing decisions (accuracy) submitted	50.2% ✎	█▅▅▄▃▂▁▁▁▁·▁ beats 30/245	easy · avg 70%	▇ 0.5%	at its level · noisy
Decision Index 0.4.1: BANKING77 (macro-F1) submitted	86.7% ✎	▁·▁▁▁▁▁▁▂█▇█ beats 150/238	easy · avg 79%	▇ 0.4%	at its level · noisy

language understanding▂▂▃▃▂▅▆▃█▆▄▃ #225 of 256 · 23% of its score · 9 tests

Beats Valen-0.8B, vLLM-SR Decision 2.0 Eos 0.8B, Together Tev1 Qwen3.5-0.8B here, though they rank higher overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: HellaSwag (accuracy) submitted	46.5% ✎	▂▄▃▂▄▇▃▇█▅▃▁ beats 31/246	very easy · avg 85%	▇▇▇▇ 10%	sharp · at its level
Decision Index 0.4.1: NLI4CT (macro-F1) submitted	48.1% ✎	▁▁▁▃▂▃▃▄▇▇█▄ beats 11/246	easy · avg 74%	▇▇ 5.5%	at its level
Decision Index 0.4.1: ANLI (macro-F1) submitted	26.2% ✎	▁▃▃▅▅█▂····▁ beats 7/246	medium · avg 60%	▇ 3.6%	at its level
Decision Index 0.4.1: iSarcasmEval (Sarcasm F1 · track A, English) submitted	11.6% ✎	▁·▁·▁▃▂▄▅█▇▄ beats 8/246	medium · avg 44%	▇ 1.0%	typical
Decision Index 0.4.1: FinEntity (macro-F1) submitted	61.4% ✎	▁···▁▁▁▃▃▆█▃ beats 26/246	easy · avg 84%	▇ 1.0%	at its level · noisy
Decision Index 0.4.1: ContractNLI (macro-F1) submitted	8.0% ✎	▃▁▁▁▁▁▁▂▂▇▇█ beats 0/246	easy · avg 71%	▇ 1.0%	at its level · noisy
Decision Index 0.4.1: VAST (macro-F1) submitted	38.2% ✎	▁▁▁▂▅▄▄▂▄▆█▄ beats 23/246	medium · avg 62%	▇ 0.7%	at its level
Decision Index 0.4.1: RAGTruth (F1 on hallucinated class) submitted	2.3% ✎	▁▁▃▁▁▁▁▁▁▃▆█ beats 7/246	easy · avg 66%	▇ 0.6%	at its level · noisy

1 more test

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: ACOS (per-review F1) submitted	3.1% ✎	▁··▃▃▃▅▇█▇▃▃ beats 9/246	hard · avg 22%	▇ 0.3%	too hard for it · noisy

arts & human taste▁▇▄▃▅▅█▅▄▂▁▁ #232 of 247 · 7.1% of its score · 5 tests

Beats JEV Ettin 150M, JEV FLAN-T5 Large public v2 (342M), Kev 0.8B r15 here, though they rank higher overall. Trails LFM2.5-350M-RLCD, system-one-gemma, Bekko System One v0 17M 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	31.3% ✎	▁▁▃▃▃▃▇▅█▅▃▁ beats 20/246	medium · avg 61%	▇ 2.8%	at its level
Decision Index 0.4.1: BPoMP (accuracy) submitted	50.6% ✎	▁█▄▄▅█▆▅▄▁▁▁ beats 22/246	easy · avg 83%	▇ 1.9%	sharp · at its level · noisy
Decision Index 0.4.1: Humicroedit (accuracy) submitted	48.1% ✎	▁·▃▃▂▂▅█▄▂▁▁ beats 8/246	medium · avg 60%	▇ 1.4%	blunt · at its level
Decision Index 0.4.1: cfcolor (accuracy) submitted	0.0% ✎	▃········▁▇█ beats 0/246	medium · avg 60%	▇ 0.8%	blunt · at its level
Decision Index 0.4.1: Habermas Machine (accuracy) submitted	69.2% ✎	▁▂▄█▇▅▁▁▄▄▁▃ beats 243/246	medium · avg 47%	▇ 0.2%	blunt · at its level

knowledge & reasoning▁▂▃▂▂▃▃▅▅▆█▂ #235 of 263 · 50% of its score · 14 tests

Beats Decision-1.0-Eos-0.8B (DecisionBench 3c2d6326), Amber 0.4B, vLLM-SR vela3-fast-vision (Vela 3.0, 0.25B) here, though they rank higher overall. Trails laya (DecisionBench 1c5edc17) here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: ARC-Easy (accuracy) submitted	73.2% ✎	▁▁▂▁▃▂▂▂▃▆█▅ beats 33/246	very easy · avg 96%	▇▇▇▇▇▇ 14%	sharp · at its level · noisy
Decision Index 0.4.1: ARC-Challenge (accuracy) submitted	45.0% ✎	▂▂▃▂▂▂▁▃▄▆█▆ beats 25/246	very easy · avg 90%	▇▇▇▇ 11%	sharp · at its level
Decision Index 0.4.1: MMLU (accuracy) submitted	38.7% ✎	▁▄▄▃▃▂▅▇▅█▇▁ beats 30/246	easy · avg 70%	▇▇ 6.2%	sharp · at its level
Decision Index 0.4.1: BBH (accuracy) submitted	36.4% ✎	▄▆▄▄█▇▇▄▃▁▁▁ beats 20/246	easy · avg 66%	▇▇ 4.9%	at its level
Decision Index 0.4.1: MMLU-Pro (accuracy) submitted	17.9% ✎	▄▄▃▃▂▄▅▇██▅▁ beats 33/246	medium · avg 46%	▇▇ 4.0%	sharp
Decision Index 0.4.1: WinoGrande (accuracy) submitted	54.4% ✎	█▅█▅▄█▆▄▃▃▁▁ beats 28/246	easy · avg 78%	▇ 3.7%	at its level
Decision Index 0.4.1: GPQA Diamond (accuracy) submitted	26.5% ✎	▂▆▅▅▆█▆▃▁··▁ beats 33/246	medium · avg 39%	▇ 1.7%	blunt
Decision Index 0.4.1: GSM8K (accuracy (4- and 10-choice)) submitted	17.7% ✎	▁··▄█▆▆▆▅▅▃▁ beats 9/246	medium · avg 45%	▇ 1.2%	sharp

6 more tests

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: MuSR (accuracy) submitted	51.1% ✎	▁▁▃█▅▄▁▁▁▁▁▁ beats 38/246	medium · avg 60%	▇ 0.9%	blunt · at its level
Decision Index 0.4.1: CLadder (accuracy) submitted	51.1% ✎	▁███▆▅▃▃▁▁▁▁ beats 21/246	easy · avg 71%	▇ 0.9%	at its level
Decision Index 0.4.1: CRUXEval (accuracy) submitted	35.5% ✎	██▄▃▃▄▁▁···▁ beats 27/246	medium · avg 58%	▇ 0.7%	at its level · noisy
Decision Index 0.4.1: SATA-Bench (case exact accuracy) submitted	17.5% ✎	▁▁▁▁▁▁▁▃▅█▂▁ beats 65/246	hard · avg 22%	▇ 0.4%	typical
Decision Index 0.4.1: ChessBench (accuracy) submitted	32.1% ✎	▄▇▄▄▄▆▄█▄▁▃▁ beats 242/246	hard · avg 16%	▇ 0.3%	blunt
Decision Index 0.4.1: HLE (accuracy) submitted	14.2% ✎	▁▁▂▃▆█▇▅▅▃▁▁ beats 180/246	very hard · avg 13%	▇ 0.0%	blunt

other tests2 not in a task · 5.8% of its score

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: private same skills (equated points)	9.4400 points ✎	▂▃▂▃▃▃▄▅▅▇█▃ beats 14/247	avg 41.206 points	▇ 3.7%	blunt
Decision Index 0.4.1: private new domains (equated points)	7.8100 points ✎	▃█▃▃▂▆▃▃▄▄▄▄ beats 10/247	avg 38.861 points	▇ 2.0%	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/alibiserikbay ↗

$ how the score was worked out · Decision Index 0.4.1 100%

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	39	▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 100%	CC BY 4.0
prior · pull toward the middle		▇ 0%
weighted average		= 25.4

$ 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

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