[whatmodel.sh](../../README.md) / BLOOMZ 1.7B # BLOOMZ 1.7B BigScience · released 2022-11 · 1.72B params · bigscience-bloom-rail-1.0 **score 23.1** ±2.6 · 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 1.7B among every model on that task or test, worst to best.}

task    vs the others      rank  counts  tests
coding  █···●·▄·▄··▄   #4 of 6*     78%      1

coding · #4 of 6 · 78% of its score

test               result  vs the others in its run  difficulty        counts  why
HumanEval (maker)    4.4%  ██··●··█·█·█ beats 2/5    medium · avg 59%     78%  sharp · too hard for it

other tests (4)

test                      result  vs the others in its run  difficulty        counts  why
WinoGrande (maker)         50.7%  █··●▃·▁··▁·▃ beats 6/12   medium · avg 68%     11%  too hard for it · noisy
COPA (maker)               66.0%  ▃··█▅▃●▅·▃▃▃ beats 7/12   easy · avg 91%      5.8%  at its level · noisy
Story Cloze Test (maker)   79.6%  █·▂··▃··●▂▂▃ beats 8/12   easy · avg 88%      1.3%  blunt · at its level · noisy
IndoMMLU (zero-shot)       34.4%  ▅▃▅··▃···▃●█ beats 7/10   hard · avg 37%      1.2%  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   96% ▇▇▇▇▇▇▇▇▇▇▇
Large Language Models Only Pass Primary…        1    1% ▇
prior: pull toward the middle                        3% ▇
weighted average                                   = 23.1

_{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-1b7) [interactive version](https://whatmodel.sh/model/bloomz-1b7) · [JSON](https://whatmodel.sh/api?format=json&all=1)