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Ricursive Intelligence text and coding assistant released on November 4, 2026. It is a dense Transformer with 65 billion parameters and 80 layers, pretrained on 12 trillion tokens. This profile groups BF16 weights and their NVFP4 variant, with validation specific to each precision.
05 NOV 2026↗ PRETRAINED BASE MODELA 65-billion-parameter base checkpoint of the Ripple family included in the November 4 release. It is the model after pretraining on 12 trillion tokens, without the later instruction or long-context adaptation stages. It serves as a starting point for research and further training.
05 NOV 2026↗ AUXILIARY DRAFT MODEL FOR SPECULATIVE DECODINGAuxiliary BF16 model with 4,037,752,064 parameters and five layers to accelerate Ripple through speculative decoding. It proposes token blocks from the target model’s internal states, which the target then verifies. It requires Ripple-65B Preview or its NVFP4 variant and does not work as an independent assistant.
05 NOV 2026↗Figures are shown with the context reported by their source. A provider result is not an independent comparison and does not replace your own evaluation.
| Model | Benchmark | Result | Metric |
|---|---|---|---|
| Ripple-65B Preview | Terminal-Bench 2.1 | 80,5 / 100 | Score |
| Ripple-65B Preview | SWE-bench Pro v2.0 Hard | 79,1 / 100 | Score |
| Ripple-65B Base Preview | MMLU (base, 5-shot MC) | 83,7 / 100 | Score |
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Entity that develops or publishes the model and maintains its technical and safety documentation.
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