Ricursive publishes a dense coding-oriented model with Apache 2.0 weights.
Another downloadable coding model gives teams an option to test on their own infrastructure.
What happened
Ricursive’s launch page and model card describe Ripple-65B Preview as a 65B-Parameters: The learned numbers inside a model. More parameters usually means a more capable but larger model. Glossary dense Transformer trained on 12T Tokens: The small chunks of text a model reads and writes, often a word or part of a word. Glossary, with support for up to 1,048,576 tokens of context. Its released licence is Apache 2.0. Ricursive reports agentic-coding benchmark results; no independently established ranking or hardware-speed guarantee is claimed here.
Why it matters: Another downloadable coding model gives teams an option to test on their own infrastructure.
Sources: Primary source, “Ripple-65B Preview, a Frontier Open-Weight Model - Ricursive Intelligence”; Primary source, “ricursiveAI/Ripple-65B-Preview · Hugging Face”; Primary source, “LICENSE · ricursiveAI/Ripple-65B-Preview at main”