[whatmodel.sh](../../README.md) / BLOOMZ 1.1B # BLOOMZ 1.1B BigScience · released 2022-11 · 1.07B params · bigscience-bloom-rail-1.0 **score 17.8** ±3.3 · comparison only: no current run option verified · from 5 benchmark results across 2 sources Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at _{● marks BLOOMZ 1.1B among every model on that task or test, worst to best.}

task    vs the others      rank  counts  tests
coding  ●···▄·▄·▄··▄   #5 of 6*     71%      1

coding · #5 of 6 · 71% of its score

test               result  vs the others in its run  difficulty        counts  why
HumanEval (maker)    2.6%  █●··█··█·█·█ beats 1/5    medium · avg 59%     71%  sharp · too hard for it

other tests (4)

test                      result  vs the others in its run  difficulty        counts  why
WinoGrande (maker)         51.1%  █··▁●·▁··▁·▃ beats 8/12   medium · avg 68%     12%  too hard for it · noisy
COPA (maker)               58.0%  ▃··█●▃▃▅·▃▃▃ beats 5/12   easy · avg 91%      8.7%  at its level · noisy
Story Cloze Test (maker)   59.0%  █·▂··●··▂▂▂▃ beats 7/12   easy · avg 88%      2.0%  blunt · at its level · noisy
IndoMMLU (zero-shot)       22.4%  ●▃▅··▃···▃▃█ beats 0/10   hard · avg 37%      1.5%  blunt · too hard for it · noisy

## 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
Crosslingual Generalization through Mul…        4   94% ▇▇▇▇▇▇▇▇▇▇▇
Large Language Models Only Pass Primary…        1    2% ▇
prior: pull toward the middle                        5% ▇
weighted average                                   = 17.8

_{Licences: Crosslingual Generalization through Multitask Finetuning ([CC BY 4.0](../../licenses/acl-2023-acl-long-891-CC-BY-4-0.txt)) · Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU ([CC BY 4.0](../../licenses/acl-2023-emnlp-main-760-CC-BY-4-0.txt))} ## How to run it No verified API or local download yet. Model repository and documentation: [huggingface.co/bigscience](https://huggingface.co/bigscience/bloomz-1b1) [interactive version](https://whatmodel.sh/model/bloomz-1b1) · [JSON](https://whatmodel.sh/api?format=json&all=1)