Ricursive Intelligence has announced the release of Ripple-65B Preview, a 65 billion parameter dense open-weight language model. This model, which operates under the Apache 2.0 license, has achieved an impressive score of 80.5 on the Terminal-Bench 2.1, outperforming many existing US open models that are up to 15 times its size.
The introduction of Ripple-65B signifies a notable advancement in the capabilities of large language models, particularly in terms of efficiency and performance. As developers and researchers continue to explore the potential of AI, models like Ripple-65B may play a crucial role in enhancing various applications across industries.
This launch not only highlights Ricursive’s commitment to pushing the boundaries of AI technology but also contributes to the broader conversation about the future of open-weight models in the competitive landscape of artificial intelligence.
Compiled automatically by the Tech AI Newsdesk from public AI-news sources and summarised in our own words.
Frequently asked questions
What is Ripple-65B?
Ripple-65B is a 65 billion parameter dense open-weight language model released by Ricursive Intelligence.
How did Ripple-65B perform on Terminal-Bench 2.1?
Ripple-65B achieved an impressive score of 80.5, outperforming many existing US open models.
