Ricursive AI releases Ripple-65B Preview model
MarkTechPost: Ricursive AI Releases Ripple-65B Preview: A 65B Dense Open-Weight Model Scoring 80.5 on Terminal-Bench 2.1
Ricursive Intelligence just released Ripple-65B Preview. Ripple-65B Preview is a 65B dense open-weight model from Ricursive, pretrained from scratch for agentic coding. It is a general-purpose variant of the proprietary model behind Ricursive’s AI chip design platform. The main claim: 80.52 on Terminal-Bench 2.1, the top self-reported score among US open-weight models. Every MoE rival it beats on that test carries 501B to 975B total parameters. TL;DR Size: 65B dense (65B active), p
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Ricursive AI released Ripple-65B Preview, a 65-billion-parameter open-weight model designed for coding tasks that achieved a score of 80.5 on Terminal-Bench 2.1, the highest among comparable open-weight US models. The model uses a dense Transformer architecture rather than a Mixture-of-Experts design, was pretrained on 12 trillion tokens with up to 1 million token context, and is available under an Apache 2.0 license. Ricursive reports the full research and development cost was 32 million dollars and used 1.4 million reinforcement learning rollouts to achieve its benchmark performance. While Ripple-65B performs well on coding benchmarks, it trails larger competitor models on science-focused and general knowledge tasks.
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