Ripple-65B Preview NVFP4 (Experimental)
BF16 | NVFP4 | Base Model | DFlash2 | Launch Blog | License: Apache 2.0
Ricursive Intelligence introduces Ripple-65B Preview, a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1M context length. Ripple-65B Preview delivers strong results on agentic coding, scoring 80.52 on TerminalBench 2.1 and surpassing significantly-larger US open-weight models such as Reflection Beam 501B (80.1), Meta Muse Spark Open 816B (76.4), Thinking Machines Inkling 975B (63.8), and NVIDIA Nemotron 3 Ultra 550B (56.4).
Our Preview release includes an instruction-tuned model in BF16 and NVFP4 numerics, and a BF16 base model. This repo contains the NVFP4 instruction-tuned checkpoint.
This is a conservative quantization of the BF16 checkpoint, using NVFP4 for the MLP layers while keeping attention in BF16.
Citation
@misc{ricursive2026ripple65b,
title={Ripple-65B: Pushing the Frontier of Local Intelligence},
author={Ricursive Intelligence},
year={2026},
}
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