[whatmodel.sh](../../README.md) / BLOOMZ 3B # BLOOMZ 3B BigScience · released 2022-11 · 3B params · bigscience-bloom-rail-1.0 **score 26.5** ±2.3 · 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 3B among every model on that task or test, worst to best. 
task    vs the others      rank  counts  tests
coding  █···▄·●·▄··▄   #3 of 6*     81%      1
coding · #3 of 6 · 81% of its score 
test               result  vs the others in its run  difficulty        counts  why
HumanEval (maker)    6.3%  ██··█··●·█·█ beats 3/5    medium · avg 59%     81%  sharp · too hard for it
other tests (4) 
test                      result  vs the others in its run  difficulty        counts  why
WinoGrande (maker)         51.8%  █··▁▃·●··▁·▃ beats 9/12   medium · avg 68%     10%  noisy
COPA (maker)               73.0%  ▃··█▅▃▃●·▃▃▃ beats 9/12   easy · avg 91%      4.4%  at its level · noisy
Story Cloze Test (maker)   85.2%  █·▂··▃··▂●▂▃ beats 9/12   easy · avg 88%      1.0%  blunt · at its level · noisy
IndoMMLU (zero-shot)       36.4%  ▅▃▅··▃···▃▃● beats 9/10   hard · avg 37%      1.0%  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   97% ▇▇▇▇▇▇▇▇▇▇▇▇
Large Language Models Only Pass Primary…        1    1% ▇
prior: pull toward the middle                        2% ▇
weighted average                                   = 26.5
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-3b) [interactive version](https://whatmodel.sh/model/bloomz-3b) · [JSON](https://whatmodel.sh/api?format=json&all=1)