whatmodel.sh / Jurassic-1 Jumbo (J1-Jumbo, 178B)
Jurassic-1 Jumbo (J1-Jumbo, 178B)
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Jurassic-1 Jumbo (J1-Jumbo, 178B) is a closed-weights language model from AI21 Labs, released August 2021. Its published size is 178B parameters. Licence: proprietary.
Catalogue identity notes
AI21 Labs' J1-Jumbo (178B, 76 layers, 256K vocabulary) as described in AI21's white paper 'Jurassic-1: Technical Details and Evaluation' (PDF created 2021-08-11; abstract: 'recently released by AI21 Labs'). Served only through AI21 Studio; weights never released; later retired. Comparison-only.
Model information sources
Score within the ARC Challenge comparison set only.
$ how it compares
Scored LLMs released closest to Jurassic-1 Jumbo (J1-Jumbo, 178B), out of 1182 with a score, then more from AI21 Labs.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 979 | 38±9 | comparison only | |||
| 1027 | 35±5 | comparison only | |||
| 1028 | 35±3 | comparison only | |||
| 1050 | 33±1 | comparison only | |||
| 1121 | 25±1 | local | |||
| more from AI21 Labs | |||||
| 325 | 59±11 | local | |||
| 495 | 54±10 | local | |||
| 546 | 52±1 | local | |||
$ what it's good at
other tests7 not in a task · 38% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| PIQA lab | 81.4% ✎ | ▁▁▁▂▂▃▅█▅▃▁▁ beats 103/123 | 9.4% |
| Story Cloze Test lab | 83.1% ✎ | ▃▃▃▂▅█▅▂▁··▂ beats 40/50 | 8.4% |
| ARC Easy lab | 67.1% ✎ | ▁▃▂▄▆█▅▃▁··▁ beats 52/100 | 8.1% |
| WinoGrande lab | 68.9% ✎ | ▁▁▁▁▂▁▁▅▇█▃▁ beats 82/131 | 4.5% |
| ARC Challenge lab | 48.1% ✎ | ▄▁▁▂▁▄█▇▃▂▃▂ beats 82/140 | 3.9% |
| HellaSwag lab | 79.3% ✎ | ▁▁▁▂▂▂▄▆█▇▄▂ beats 107/135 | 3.7% |
| BoolQ lab | 73.5% ✎ | ▁····▁▂█▆▅▆▄ beats 60/103 | 0.4% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · AI21 Labs official docs 38%
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
| source | results | share of the score |
|---|---|---|
| 7 | 38% | |
| prior · pull toward the middle | 62% | |
| weighted average | = 65.0 |
$ improve this page
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data updated · sources and licences · json