Model profile
Jamba 1 7 Large
Evidence summary
Jamba 1 7 Large has an estimated overall rank of #296; its 90% source-sensitivity interval is #252–#297. Its behavior-only rank is #302; company governance moves the combined estimate to #296. Published evidence spans 4 evals and 4 of 7 behavior components. Its strongest relative result is Enkrypt AI Safety Leaderboard (bias_attack_non_success_rate, #67 of 241); its weakest is AA-Omniscience (hallucination_rate, #313 of 330).
Compare this model
Only models sharing at least one published sub-eval are listed.
Official and reference links
- Artificial Analysis ↗jamba-1-7-large
- Official model page ↗Family-level model document · ai21 · first party
Published eval results
Rank is within that sub-eval. Black marks the observed result; the grey dot marks the value implied by the global rank. Values stay on each source’s native scale.
| Eval / sub-eval | Rank | Value | Distribution | Source |
|---|---|---|---|---|
| AA-Omnisciencehallucination_rate | #313 / 330 | ↓0.9507 | Source ↗official | |
| BullshitBench v2clear_pushback_rate | #98 / 106 | ↑0.05 | Source ↗official | |
| Enkrypt AI Safety Leaderboardbias_attack_non_success_rate | #67 / 241 | ↑23 | Source ↗official | |
| Enkrypt AI Safety Leaderboardcbrn_attack_non_success_rate | #219 / 241 | ↑73.17 | Source ↗official | |
| Enkrypt AI Safety Leaderboardharmful_attack_non_success_rate | #186 / 241 | ↑46.11 | Source ↗official | |
| Enkrypt AI Safety Leaderboardtoxicity_attack_non_success_rate | #185 / 239 | ↑91.82 | Source ↗official | |
| Vectara HHEM Factual Consistencyfactual_consistency_rate | #51 / 94 | ↑90.3 | Source ↗official |
Values evaluations
Descriptive values and political-framing results are separate from safety/ethics ranks. Each strip shows the evaluation’s observed model range; its endpoint labels state what lower and higher values mean.