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openvons Qwen3-4B (decision readout)

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openvons Qwen3-4B (decision readout) is a source-available decision implementation from genai-craft. Its published size is 4.02B parameters.

Catalogue identity notes

Exact Decision Index tested engine openvons; reported model openvons Qwen3-4B. Type: inference technique; technique: autoregressive. Published checkpoint/base reference: Qwen/Qwen3-4B-Instruct-2507. Implementation: https://github.com/genai-craft/openvons. Comparison entry; no current run command, API price or speed inferred from the benchmark.

Model information sources

· Parameter count ↗

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

43.1±1.1#249 of 355 decision modelsfrom 42 benchmark results across 1 source

$ how it compares

The decision models ranked either side of openvons Qwen3-4B (decision readout), out of 357 with a score.

#	model	score	where
249	crystal-0.8b Kyunghwan-kim	44±1	model files
250	QEV-0.8B ken-jo	44±4	model files
251	openvons Qwen3-4B (decision readout) genai-craft	43±1	source code
252	Intelif Qwen3-4B UserMoonlight	43±1	model files
253	Crivo-1B tardellirs	43±1	model files

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

$ what it's good at

tools & automation▁▃▁▁▁▂▃▄▆██▆ #195 of 250 · 8.7% of its score · 6 tests

Trails JevK5 Lite, Mola-68M, Dinah-1 here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: BFCL (case exact accuracy) submitted	84.1% ✎	▁▂▁▁▁▂▃▄▅▆█▁ beats 54/246	very easy · avg 92%	▇ 3.7%	sharp · noisy
Decision Index 0.4.1: API-Bank (accuracy) submitted	43.5% ✎	▁▁▁▁▁▁▁▃▃▂█▂ beats 36/236	easy · avg 70%	▇ 2.5%	sharp · at its level · noisy
Decision Index 0.4.1: When2Call (accuracy) submitted	53.0% ✎	▁▁▁▂▃▅▅▆█▇█▃ beats 49/246	easy · avg 72%	▇ 1.1%	at its level · noisy
Decision Index 0.4.1: ToolRet (nDCG@10) submitted	60.3% ✎	▁▁▁▁▁·▁▁▁▄█▁ beats 67/246	medium · avg 60%	▇ 0.8%	blunt · at its level
Decision Index 0.4.1: Home appliance simulator (case exact accuracy) submitted	4.5% ✎	█▁▃▃▄▄▆▄▁▂▁▃ beats 59/243	medium · avg 37%	▇ 0.6%	sharp · 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▁▁▁·▁▁▁▃▃▃█▅ #217 of 258 · 5.4% of its score · 7 tests

Trails Bosun v3.1 0.6B LoRA, Crivo-32M v2, Mola-68M 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	40.5% ✎	▁▁▁▁▁▁▁▂▂▄▇█ beats 100/246	medium · avg 38%	▇ 1.8%	blunt · at its level
Decision Index 0.4.1: Amazon ESCI (macro-F1) submitted	33.0% ✎	▁▁▁▁▁▁▂▃▃▃█▅ beats 42/246	medium · avg 47%	▇ 1.7%	at its level
Decision Index 0.4.1: HoVer (accuracy) submitted	61.0% ✎	▆▆▇▅▄▄▃▇▄█▆▄ beats 56/246	easy · avg 74%	▇ 0.6%	blunt · at its level
Decision Index 0.4.1: CLINC150+OOS (macro-F1) submitted	41.7% ✎	▁▁▁▁▁▁▃▂▃▆█▄ beats 22/238	easy · avg 83%	▇ 0.5%	sharp · noisy
Decision Index 0.4.1: PhishNChips phishing decisions (accuracy) submitted	51.3% ✎	█▅▅▄▃▂▁▁▁▁·▁ beats 50/245	easy · avg 70%	▇ 0.5%	at its level · noisy
Decision Index 0.4.1: BANKING77 (macro-F1) submitted	32.6% ✎	▁·▁▁▁▁▃▁▂█▇█ beats 11/238	easy · avg 79%	▇ 0.3%	at its level · noisy
Decision Index 0.4.1: SGD/SGD-X (macro-F1) submitted	62.3% ✎	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▂▂▂▃▂▅▆▃█▆▄▃ #173 of 256 · 24% of its score · 9 tests

Beats Nari Decision 4B v3.2, Kev 4B r10, StartLux-Decision v1.1 0.8B here, though they rank higher overall. Trails DecisionTune 1.0, jdi-ptr14-0.8b, Decider 2B here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: HellaSwag (accuracy) submitted	80.8% ✎	▂▄▂▂▄▇▃▇█▅▃▁ beats 83/246	very easy · avg 85%	▇▇▇ 8.2%	sharp
Decision Index 0.4.1: NLI4CT (macro-F1) submitted	70.0% ✎	▁▁▁▂▂▃▃▄▇▇█▄ beats 78/246	easy · avg 74%	▇▇ 5.4%	at its level
Decision Index 0.4.1: ANLI (macro-F1) submitted	53.8% ✎	▁▂▃▅▅█▂····▁ beats 79/246	medium · avg 60%	▇▇ 4.7%	at its level
Decision Index 0.4.1: iSarcasmEval (Sarcasm F1 · track A, English) submitted	33.3% ✎	▁·▁·▁▁▂▄▅█▇▄ beats 69/246	medium · avg 44%	▇ 1.7%	at its level
Decision Index 0.4.1: ContractNLI (macro-F1) submitted	53.5% ✎	▁▁▁▁▁▁▁▃▂▇▇█ beats 36/246	easy · avg 71%	▇ 1.0%	at its level · noisy
Decision Index 0.4.1: VAST (macro-F1) submitted	42.5% ✎	▁▁▁▂▅▄▄▂▄▆█▄ beats 40/246	medium · avg 62%	▇ 0.9%	at its level
Decision Index 0.4.1: FinEntity (macro-F1) submitted	60.5% ✎	▁···▁▁▁▃▃▆█▃ beats 22/246	easy · avg 84%	▇ 0.8%	noisy
Decision Index 0.4.1: RAGTruth (F1 on hallucinated class) submitted	55.1% ✎	▁▁▁▁▁▁▁▁▁▃▆█ beats 64/246	easy · avg 66%	▇ 0.7%	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	14.2% ✎	▁··▂▃▃▅▇█▇▃▃ beats 77/246	hard · avg 22%	▇ 0.6%	noisy

arts & human taste▁▇▄▃▅▅█▅▄▂▁▁ #170 of 247 · 8.1% of its score · 6 tests

Beats PurpleMIST-Flash-1.0, vLLM-SR Decision 2.0 Nox 4B, Sieve 9B here, though they rank higher overall. Trails Crivo-17M, Crivo-32M v2, Crivo-68M 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	58.7% ✎	▁▁▂▃▃▃▇▅█▅▃▁ beats 94/246	medium · avg 61%	▇ 3.6%	at its level
Decision Index 0.4.1: Humicroedit (accuracy) submitted	59.1% ✎	▁·▁▃▂▂▅█▄▂▁▁ beats 83/246	medium · avg 60%	▇ 1.6%	blunt · at its level
Decision Index 0.4.1: BPoMP (accuracy) submitted	76.2% ✎	▁█▄▄▅█▆▅▄▁▁▁ beats 78/246	easy · avg 83%	▇ 1.5%	sharp · noisy
Decision Index 0.4.1: cfcolor (accuracy) submitted	53.3% ✎	▁········▁▇█ beats 46/246	medium · avg 60%	▇ 0.9%	blunt · at its level
Decision Index 0.4.1: POP909-CL (accuracy) submitted	5.6% ✎	▄▅▅▃▆▅▃▅▂▅▃█ beats 78/237	hard · avg 21%	▇ 0.4%	sharp · noisy
Decision Index 0.4.1: Habermas Machine (accuracy) submitted	45.9% ✎	▁▂▄█▇▅▁▁▄▄▁▁ beats 146/246	medium · avg 47%	▇ 0.3%	blunt · at its level

knowledge & reasoning▁▂▂▂▂▃▃▅▅▆█▂ #169 of 263 · 47% of its score · 14 tests

Beats Solomon v1.1, Standard One 3B SH (v4), baselabs joey-1 (2B) here, though they rank higher overall.

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: MMLU-Pro (accuracy) submitted	43.2% ✎	▄▄▃▃▂▄▅▇██▅▁ beats 89/246	medium · avg 46%	▇▇▇ 7.7%	sharp · at its level
Decision Index 0.4.1: ARC-Challenge (accuracy) submitted	89.5% ✎	▂▂▂▂▂▂▁▃▄▆█▆ beats 93/246	very easy · avg 90%	▇▇▇ 7.6%	sharp
Decision Index 0.4.1: MMLU (accuracy) submitted	69.2% ✎	▁▄▄▃▃▂▅▇▅█▇▁ beats 94/246	easy · avg 70%	▇▇▇ 7.4%	sharp · at its level
Decision Index 0.4.1: BBH (accuracy) submitted	53.3% ✎	▄▆▄▄█▇▇▄▃▁▁▁ beats 71/246	easy · avg 66%	▇▇ 6.1%	at its level
Decision Index 0.4.1: ARC-Easy (accuracy) submitted	96.3% ✎	▁▁▂▁▂▂▂▂▃▆█▅ beats 93/246	very easy · avg 96%	▇▇ 5.3%	sharp · noisy
Decision Index 0.4.1: WinoGrande (accuracy) submitted	62.6% ✎	█▅█▅▄█▆▄▃▃▁▁ beats 53/246	easy · avg 78%	▇ 3.4%	at its level
Decision Index 0.4.1: GSM8K (accuracy (4- and 10-choice)) submitted	29.0% ✎	▁··▄█▆▆▆▅▅▃▁ beats 74/246	medium · avg 45%	▇ 2.5%	sharp · at its level
Decision Index 0.4.1: GPQA Diamond (accuracy) submitted	38.8% ✎	▂▆▅▅▆█▆▃▁··▁ beats 109/246	medium · avg 39%	▇ 2.3%	blunt · at its level

6 more tests

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: MuSR (accuracy) submitted	60.1% ✎	▁▁▂█▅▄▁▁▁▁▁▁ beats 134/246	medium · avg 60%	▇ 1.0%	blunt · at its level
Decision Index 0.4.1: CRUXEval (accuracy) submitted	42.6% ✎	██▄▃▃▄▁▁···▁ beats 73/246	medium · avg 58%	▇ 0.9%	at its level · noisy
Decision Index 0.4.1: CLadder (accuracy) submitted	55.8% ✎	▁███▆▅▃▃▁▁▁▁ beats 45/246	easy · avg 71%	▇ 0.9%	at its level
Decision Index 0.4.1: SATA-Bench (case exact accuracy) submitted	26.1% ✎	▁▁▁▁▁▁▁▂▅█▂▁ beats 111/246	hard · avg 22%	▇ 0.8%	typical
Decision Index 0.4.1: ChessBench (accuracy) submitted	10.9% ✎	▄▇▄▄▄▆▄█▄▁▁▁ beats 73/246	hard · avg 16%	▇ 0.4%	blunt
Decision Index 0.4.1: HLE (accuracy) submitted	11.4% ✎	▁▁▂▃▆█▇▅▅▃▁▁ beats 81/246	very hard · avg 13%	▇ 0.0%	blunt

other tests2 not in a task · 6.6% of its score

test	result	vs the others in its run	difficulty	counts	why
Decision Index 0.4.1: private same skills (equated points)	31.4500 points ✎	▂▂▂▃▃▃▄▅▅▇█▃ beats 69/247	avg 41.206 points	▇▇ 4.2%	blunt
Decision Index 0.4.1: private new domains (equated points)	24.7800 points ✎	▃█▃▃▂▆▃▃▄▄▄▄ beats 83/247	avg 38.861 points	▇ 2.3%	blunt

$ where to run it

Implementation and setup instructions ↗
Published implementation and setup documentation verified. This entry describes a decision readout or evaluated configuration, not necessarily separate trained weights. Follow the referenced version and model settings; hardware compatibility has not been verified. Source · checked 2026-10-31.

Model repository and documentation: github.com/genai-craft ↗

$ 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		= 43.1

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]	62.3%	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