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KnowLine 4B Gen5.5

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KnowLine 4B Gen5.5 is an open-weights decision model from PelaAI, released 22 October 2026. Its published size is 4.66B parameters. Licence: apache-2.0.

Catalogue identity notes

Exact Decision Index tested engine knowline-4b-gen5.5; reported model KnowLine 4B Gen5.5. 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.

64.4±1.4#62 of 355 decision modelsfrom 42 benchmark results across 1 source

$ how it compares

The decision models ranked either side of KnowLine 4B Gen5.5, out of 357 with a score, then more from PelaAI.

#	model	score	where	released
60	Aleria Judge 1.1.0 (Gemma 4 31B) (decision readout) Decision Index submission: aleria-judge-1.1.0	65±4	source code	2026-10-14
61	d1 (hosted) Liquid AI	65±1	api price unknown
62	KnowLine 4B Gen5.5 PelaAI	64±1	model files	2026-10-22
63	Jev 1.14 TypeSafe	64±1	api $0.042/M input tokens	2026-10-14
64	Jeffan-4B-2010 tattrongvu	64±1	model files
	more from PelaAI
5	KnowLine 31B Gen1 PelaAI	73±2	model files	2026-10-24
12	KnowLine 35B-A3B Gen1.5 PelaAI	71±2	model files	2026-10-22
22	KnowLine 26B-A4B Gen2.5 PelaAI	69±2	model files	2026-10-22

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

$ what it's good at

tools & automation▁▃▁▁▁▂▃▄▆██▆ #56 of 250 · 6.1% of its score · 6 tests

Beats AutoTrust-JEV-27B v1.1, OneShot 27B, mogan-decision-31B-it here, though they rank higher overall. 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	89.0% ✎	▁▁▁▁▁▁▁▂▃▂█▃ beats 225/236	easy · avg 70%	▇ 1.8%	sharp · noisy
Decision Index 0.4.1: Home appliance simulator (case exact accuracy) submitted	98.9% ✎	█▁▁▃▄▄▆▄▁▂▁▃ beats 222/243	medium · avg 37%	▇ 1.1%	sharp · at its level · noisy
Decision Index 0.4.1: ToolRet (nDCG@10) submitted	68.4% ✎	▁▁▁▁▁·▁▁▁▄█▁ beats 210/246	medium · avg 60%	▇ 1.1%	blunt · at its level
Decision Index 0.4.1: BFCL (case exact accuracy) submitted	97.3% ✎	▁▂▁▁▁▂▂▄▅▆█▁ beats 189/246	very easy · avg 92%	▇ 1.1%	sharp · maxed out · noisy
Decision Index 0.4.1: When2Call (accuracy) submitted	90.5% ✎	▁▁▁▂▃▅▅▆█▇█▃ beats 223/246	easy · avg 72%	▇ 1.0%	noisy
Decision Index 0.4.1: RouterBench (selected quality (quality objective)) submitted	78.2% ✎	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▁▁▁·▁▁▁▁▃▃█▅ #59 of 258 · 7.5% of its score · 7 tests

Beats AutoTrust-JEV-27B v1.1, d1.1 (hosted), oenogarum (Gemma 4 31B) here, though they rank higher overall. Trails StartLux-Decision v1.1 0.8B, Standard One 8B SH (v4), StartLux-Decision v1.1 2B 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	47.9% ✎	▁▁▁▁▁▁▁▂▂▄▇█ beats 196/246	medium · avg 38%	▇ 3.0%	blunt · at its level
Decision Index 0.4.1: Amazon ESCI (macro-F1) submitted	58.0% ✎	▁▁▁▁▁▁▂▂▃▃█▅ beats 191/246	medium · avg 47%	▇ 2.7%	at its level
Decision Index 0.4.1: HoVer (accuracy) submitted	88.1% ✎	▆▆▇▅▄▄▃▇▄█▆▄ beats 218/246	easy · avg 74%	▇ 0.6%	blunt
Decision Index 0.4.1: PhishNChips phishing decisions (accuracy) submitted	98.4% ✎	█▅▅▄▃▂▁▁▁▃·▁ beats 244/245	easy · avg 70%	▇ 0.6%	noisy
Decision Index 0.4.1: BANKING77 (macro-F1) submitted	90.3% ✎	▁·▁▁▁▁▁▁▂█▇█ beats 187/238	easy · avg 79%	▇ 0.3%	noisy
Decision Index 0.4.1: CLINC150+OOS (macro-F1) submitted	92.6% ✎	▁▁▁▁▁▁▁▂▃▆█▄ beats 167/238	easy · avg 83%	▇ 0.3%	sharp · maxed out · noisy
Decision Index 0.4.1: SGD/SGD-X (macro-F1) submitted	65.2% ✎	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▂▂▂▃▂▅▆▃█▆▄▃ #60 of 256 · 22% of its score · 9 tests

Beats Ainvest-Decision-27B v1.0, Turion Jev 31B, MISA AI 2.0 Decision Plus · oak 1.1 (31B) here, though they rank higher overall. Trails Decider 35B-A3B, Sieve 9B v2, Clef-flash 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	73.3% ✎	▁▂▃▅▅█▂····▁ beats 180/246	medium · avg 60%	▇▇ 5.5%	at its level
Decision Index 0.4.1: NLI4CT (macro-F1) submitted	83.0% ✎	▁▁▁▂▂▃▃▄▇▇█▄ beats 188/246	easy · avg 74%	▇▇ 5.2%	typical
Decision Index 0.4.1: HellaSwag (accuracy) submitted	94.7% ✎	▂▄▂▂▄▇▃▇█▅▃▁ beats 189/246	very easy · avg 85%	▇ 3.3%	sharp · maxed out
Decision Index 0.4.1: iSarcasmEval (Sarcasm F1 · track A, English) submitted	60.7% ✎	▁·▁·▁▁▂▄▅█▇▄ beats 188/246	medium · avg 44%	▇ 2.7%	at its level
Decision Index 0.4.1: ACOS (per-review F1) submitted	50.6% ✎	▁··▂▃▃▅▇█▇▃▃ beats 224/246	hard · avg 22%	▇ 1.7%	at its level · noisy
Decision Index 0.4.1: VAST (macro-F1) submitted	78.4% ✎	▁▁▁▂▅▄▄▂▄▆█▄ beats 204/246	medium · avg 62%	▇ 1.1%	at its level
Decision Index 0.4.1: ContractNLI (macro-F1) submitted	84.5% ✎	▁▁▁▁▁▁▁▂▂▇▇█ beats 218/246	easy · avg 71%	▇ 1.0%	noisy
Decision Index 0.4.1: RAGTruth (F1 on hallucinated class) submitted	80.9% ✎	▁▁▁▁▁▁▁▁▁▃▆█ beats 189/246	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	90.7% ✎	▁···▁▁▁▁▃▆█▃ beats 158/246	easy · avg 84%	▇ 0.5%	maxed out · noisy

arts & human taste▁▇▄▃▅▅█▅▄▂▁▁ #23 of 247 · 10% of its score · 6 tests

Beats Jeffan-31b-1710, vLLM-SR d3-turbo v1.1 (27B), WeMM-JEV-27B here, though they rank higher overall. Trails Clef-omni, Senova-4B v2, AnyJev L0 · Gemma-4-31B (decision readout) 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 175/246	medium · avg 61%	▇▇ 4.1%	typical
Decision Index 0.4.1: Humicroedit (accuracy) submitted	67.3% ✎	▁·▁▃▂▂▅█▄▃▁▁ beats 227/246	medium · avg 60%	▇ 2.3%	blunt · at its level
Decision Index 0.4.1: POP909-CL (accuracy) submitted	84.3% ✎	▄▅▅▃▆▅▃▅▂▅▃█ beats 235/237	hard · avg 21%	▇ 1.3%	sharp · at its level · noisy
Decision Index 0.4.1: cfcolor (accuracy) submitted	69.5% ✎	▁········▁▇█ beats 239/246	medium · avg 60%	▇ 1.3%	blunt · at its level
Decision Index 0.4.1: BPoMP (accuracy) submitted	97.0% ✎	▁█▄▄▅█▆▅▄▁▁▁ beats 224/246	easy · avg 83%	▇ 0.9%	sharp · maxed out · noisy
Decision Index 0.4.1: Habermas Machine (accuracy) submitted	62.4% ✎	▁▂▄█▇▅▁▁▄▄▁▁ beats 222/246	medium · avg 47%	▇ 0.4%	blunt · at its level

knowledge & reasoning▁▂▂▂▂▃▃▅▅▆█▂ #100 of 263 · 43% of its score · 14 tests

Trails Decider 35B-A3B, decisio 0.4.0 (Qwen3.6-35B-A3B) (decision readout), Solar Decide 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	59.9% ✎	▄▄▃▃▂▄▅▇██▅▁ beats 156/246	medium · avg 46%	▇▇▇▇▇ 11%	sharp · at its level
Decision Index 0.4.1: MMLU (accuracy) submitted	79.5% ✎	▁▄▄▃▃▂▅▇▅█▇▁ beats 152/246	easy · avg 70%	▇▇ 6.1%	sharp
Decision Index 0.4.1: BBH (accuracy) submitted	82.1% ✎	▄▆▄▄█▇▇▄▃▁▁▁ beats 201/246	easy · avg 66%	▇▇ 6.0%	typical
Decision Index 0.4.1: GPQA Diamond (accuracy) submitted	46.9% ✎	▂▆▅▅▆█▆▃▁··▁ beats 165/246	medium · avg 39%	▇▇ 3.9%	blunt · at its level
Decision Index 0.4.1: GSM8K (accuracy (4- and 10-choice)) submitted	70.2% ✎	▁··▄█▆▆▆▅▅▃▁ beats 188/246	medium · avg 45%	▇ 3.7%	sharp · at its level
Decision Index 0.4.1: WinoGrande (accuracy) submitted	88.0% ✎	█▅█▅▄█▆▄▃▃▁▁ beats 181/246	easy · avg 78%	▇ 2.8%	typical
Decision Index 0.4.1: ARC-Challenge (accuracy) submitted	95.7% ✎	▂▂▂▂▂▂▁▃▄▆█▆ beats 153/246	very easy · avg 90%	▇ 2.1%	sharp · maxed out
Decision Index 0.4.1: SATA-Bench (case exact accuracy) submitted	39.9% ✎	▁▁▁▁▁▁▁▂▅█▃▁ beats 225/246	hard · avg 22%	▇ 2.0%	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	61.7% ✎	▁▁▂█▅▄▁▁▁▁▁▁ beats 147/246	medium · avg 60%	▇ 1.4%	blunt · at its level
Decision Index 0.4.1: CRUXEval (accuracy) submitted	67.9% ✎	██▄▃▃▄▁▁···▁ beats 161/246	medium · avg 58%	▇ 1.2%	at its level · noisy
Decision Index 0.4.1: CLadder (accuracy) submitted	89.8% ✎	▁███▆▅▃▃▁▁▁▁ beats 221/246	easy · avg 71%	▇ 1.0%	typical
Decision Index 0.4.1: ChessBench (accuracy) submitted	22.8% ✎	▄▇▄▄▄▆▄█▄▁▁▁ beats 199/246	hard · avg 16%	▇ 0.9%	blunt
Decision Index 0.4.1: ARC-Easy (accuracy) submitted	98.6% ✎	▁▁▂▁▂▂▂▂▃▆█▅ beats 158/246	very easy · avg 96%	▇ 0.9%	sharp · maxed out · noisy
Decision Index 0.4.1: HLE (accuracy) submitted	13.2% ✎	▁▁▂▃▆█▇▅▅▃▁▁ beats 152/246	very hard · avg 13%	▇ 0.0%	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)	60.8500 points ✎	▂▂▂▃▃▃▄▅▅▇█▃ beats 210/247	avg 41.206 points	▇▇▇ 6.6%	blunt
Decision Index 0.4.1: private new domains (equated points)	48.6900 points ✎	▃█▃▃▂▆▃▃▄▄▄▄ beats 153/247	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/PelaAI ↗

$ 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		= 64.4

not counted (2)

Decision Index 0.4.1	Decision Index 0.4.1: RouterBench (selected quality (quality objective)) [correct]	78.2%	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]	65.2%	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