QEV-0.8B

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QEV-0.8B is an open-weights decision model from ken-jo. Its published size is 0.85B parameters. Licence: apache-2.0.

Catalogue identity notes

Exact Decision Index tested engine qev-0.8b; reported model QEV-0.8B. 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.

43.8±3.5#248 of 355 decision modelsfrom 12 benchmark results across 1 source

$ how it compares

The decision models ranked either side of QEV-0.8B, out of 357 with a score, then more from ken-jo.

#	model	score	where
248	Jevstral 8B AmirBraham	44±1	model files
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
	more from ken-jo
191	QEV-2B ken-jo	52±4	model files

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

$ what it's good at

vision▁·▃▃▃▃▇▄▄█▄▃ #70 of 79 · 95% of its score · 12 tests

Beats StartLux-Decision v1.1 0.8B, Winnow-E4B here, though they rank higher overall. Trails LiquidAI d1-omni-600M, InternLM Intern-Decision Qwen3.5-2B, Valen-2B 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	77.5300 points ✎	▁·▁▁▃▁▄▄▃▅█▂ beats 34/61	avg 63.423 points	▇▇▇▇▇ 12%	blunt
Decision Index Vision 0.4 · MMMU-Pro vision (chance-corrected points) submitted	8.5800 points ✎	▁▁▅▁▄▁▄█▄▃▇▇ beats 6/61	avg 22.797 points	▇▇▇▇ 11%	blunt
Decision Index Vision 0.4 · Winoground (chance-corrected points) submitted	51.2500 points ✎	▁·▁▁▃▁·▂▁▃▅█ beats 7/61	avg 66.987 points	▇▇▇▇ 10%	blunt
Decision Index Vision 0.4: private same skills (points)	36.8900 points ✎	▁▁▃▃▁▂▄▆▃▃▅█ beats 6/61	avg 48.067 points	▇▇▇▇ 10%	blunt
Decision Index Vision 0.4 · Moderation (Hateful Memes) (chance-corrected points) submitted	27.9500 points ✎	▆▃▃▆▄▄▇██▁▆▆ beats 20/61	avg 28.443 points	▇▇▇▇ 8.8%	blunt
Decision Index Vision 0.4 · RealWorldQA (chance-corrected points) submitted	40.0700 points ✎	▁·▂▃▁▃▃▅▅▃▂█ beats 4/61	avg 53.651 points	▇▇▇ 8.0%	blunt
Decision Index Vision 0.4 · CharXiv (chance-corrected points) submitted	55.6400 points ✎	▂▁▁▁▁▃▁▅▅▆██ beats 9/61	avg 62.137 points	▇▇▇ 7.8%	blunt
Decision Index Vision 0.4 · InfographicVQA (chance-corrected points) submitted	69.9500 points ✎	▁·▃▂▁▁▃▁▂▂▅█ beats 1/61	avg 83.859 points	▇▇ 6.2%	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	15.7200 points ✎	▂▄▇▆█▄▄▇▂··▁ beats 12/61	avg 19.676 points	▇▇ 6.2%	blunt
Decision Index Vision 0.4 · BLINK (chance-corrected points) submitted	31.3700 points ✎	▁···▁▃▂▂█▄▂▃ beats 4/61	avg 44.994 points	▇▇ 5.9%	blunt
Decision Index Vision 0.4 · CV-Bench (chance-corrected points) submitted	58.7200 points ✎	▁▁▁▃▂▁▁▁▄█▃▃ beats 5/61	avg 67.662 points	▇▇ 4.7%	blunt
Decision Index Vision 0.4 · KIE (CORD+FUNSD) (chance-corrected points) submitted	91.6500 points ✎	▁··▁▁▁▁▁▂▄█▁ beats 32/61	avg 85.184 points	▇ 3.4%	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/ken-jo ↗

$ how the score was worked out · Decision Index Vision 0.4 95%

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 Vision 0.4 · submitted; independent execution unverified	12	▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 95%	CC BY 4.0
prior · pull toward the middle		▇▇ 5%
weighted average		= 43.8

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