Jamba Large 1.7
Jamba Large 1.7 improves grounding and instruction following over Large 1.6. It retains 398 billion total parameters, with 94 billion active for each token.
What changed from Large 1.6
AI21 reports a FACTS grounding score of 0.832 for Large 1.7, compared with 0.758 for Large 1.6. These are the developer's reported evaluation results, not a promise that every answer will follow its source correctly.AI21-Jamba-Large-1.7 official model card
Current Large API identity
AI21's current catalog maps jamba-large and jamba-large-1.7 to jamba-large-1.7-2025-07.AI21 Jamba versions, aliases and API deprecations
Practical guidance. Keep the release identifier with evaluation results. Jamba2 Mini is a newer release in a different size class; its name does not imply that a Jamba2 Large endpoint exists.
Plan for the full checkpoint
The card warns that the full-precision or half-precision checkpoint exceeds the memory of one eight-GPU node with 80 GB per GPU. It describes quantized serving, and AI21 also publishes an FP8 export.AI21-Jamba-Large-1.7 official model card
Practical guidance. Count the FP8 export as a format choice. Check license terms and GPU capacity before selecting the downloadable model.
Specifications & access
| Detail | Value and conditions |
|---|---|
| Launch date | |
| Access | API, Downloadable |
| Model identifiers | AI21-Jamba-Large-1.7AI21-Jamba-Large-1.7-FP8jamba-largejamba-large-1.7jamba-large-1.7-2025-07 |
| Parameters | 398 billion total; 94 billion activeAI21-Jamba-Large-1.7 official model card |
| Context | 256K tokens advertisedAI21-Jamba-Large-1.7 official model card |
| Knowledge cutoff | 22 August 2024AI21-Jamba-Large-1.7 official model card |
| Weight license | Jamba Open Model License; download requires acceptance of its termsAI21-Jamba-Large-1.7 official model card |
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