whatmodel.sh / T0+ (T0p) 11B

T0+ (T0p) 11B

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T0+ (T0p) 11B is an open-weights language model from BigScience, released October 2021. Its published size is 11B parameters. Licence: apache-2.0.

Catalogue identity notes

BigScience T0p ('T0+', 11B) trained on P3 plus GPT-3 evaluation datasets (Sanh et al., arXiv 2110.08207); checkpoint bigscience/T0p.

Model information sources

Release date ↗

37.8±9.4comparison only: no current run option verifiedfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

Score within the LMArena (text) comparison set only.

$ how it compares

The LLMs ranked either side of T0+ (T0p) 11B, out of 1182 with a score, then more from BigScience.

#modelscorewhereRAMreleased
977MPT-30B-Chat MosaicML38±2comparison only2023-06
978Trurl 2 13B Academic Voicelab38±3local~29GB2023-09
979T0+ (T0p) 11B BigScience38±9comparison only2021-10
980LFM2 700M Liquid AI38±1local~1GB2025-07
981EXAONE 3.5 2.4B Instruct LG AI Research38±2local~3GB2024-12
more from BigScience
734BLOOMZ 7.1B MT BigScience47±10comparison only2022-11
1028T0 11B BigScience35±3comparison only2021-10
1049BLOOMZ 176B BigScience33±2comparison only2022-11

see all LLMs · find the ones that fit your machine

$ what it's good at

other tests1 not in a task · 60% of its score
testresultvs the others in its rundifficultycountswhy
LMentry accuracy (zero-shot)47.0% ✎▂▆·▄▄█▂·▂··▂ beats 8/14medium · avg 65%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 60%blunt · at its level

$ where to run it

No verified API or download recorded yet · add one

Official weights and documentation: huggingface.co/bigscience ↗

$ how the score was worked out · LMentry: A Language Model Ben… 60%

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

sourceresultsshare of the scorelicence
LMentry: A Language Model Benchmark of Elementary Language Tasks — authors' own runs1CC BY 4.0
prior · pull toward the middle
weighted average= 37.8

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json