[whatmodel.sh](../../README.md) / UL2 20B # UL2 20B Google · released 2022-05 · 20B params · apache-2.0 **score 28.0** ±2.5 · comparison only: no current run option verified · from 4 benchmark results across 2 sources · † no independently run results verified Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks UL2 20B among every model on that task or test, worst to best.
task            rank  counts  tests
math  not ranked yet       —      1
math · 0.0% of its score
test           result  vs the others in its run   difficulty      counts  why
GSM8K (maker)    5.4%  ▂▂▂●▃▄▅▇██▆▄ beats 27/206  easy · avg 72%       —  not counted yet: no other model in the …
other tests (5)
test                                result  vs the others in its run   difficulty        counts  why
ARC Challenge (maker)                42.9%  ▄▁▁▂▁▄█●▃▂▃▂ beats 86/140  easy · avg 86%       53%  sharp · at its level
TriviaQA (maker)                     48.7%  ▁▁▂▂▄▄▃▆●█▅▂ beats 45/80   easy · avg 82%       24%  at its level · small run
Natural Questions (closed book) (…   10.2%  ▂▁▁▁▂▄▄●▅█▅▁ beats 27/68   medium · avg 39%     14%  small run
ARC Easy (maker)                     61.6%  ▁▃▂▄●█▅▃▁··▁ beats 35/100  easy · avg 87%      6.2%  blunt · at its level
OpenBookQA (maker)                   53.6%  ▅▁▁▁▂▂▃█●▁▃▁ beats 83/107  hard · avg 49%         —  not counted yet: no other model in the …
## How the score was worked out Each result implies a score on its own, after adjusting for how hard that test is and who ran it. The model's 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 is added up by who ran the tests. [Method](../method.md)
source                                    results  share of the score
Self-Consistency Improves Chain of Thou…        2   59% ▇▇▇▇▇▇▇
Recitation-Augmented Language Models (s…        2   38% ▇▇▇▇▇
prior: pull toward the middle                        3% ▇
weighted average                                   = 28.0
Licences: Self-Consistency Improves Chain of Thought Reasoning in Language Models ([CC BY 4.0](../../licenses/paper-2203.11171v4-CC-BY-4-0.txt)) · Recitation-Augmented Language Models ([CC BY 4.0](../../licenses/paper-2210.01296v2-recitation-CC-BY-4-0.txt))
Not counted (3)
source                  test           score  why
Large Language Models…  GSM8K           5.4%  too few models have it yet
Large Language Models…  ARC Challenge  49.9%  only model in this source's run
Large Language Models…  OpenBookQA     53.6%  too few models have it yet
## How to run it No verified API or local download yet. Model repository and documentation: [huggingface.co/google](https://huggingface.co/google/ul2) [interactive version](https://whatmodel.sh/model/ul2-20b) · [JSON](https://whatmodel.sh/api?format=json&all=1)