Ricursive发布Ripple-65B Preview
Ricursive发布650亿参数开放权重模型Ripple-65B Preview，预训练数据量为12万亿token，并支持最长100万token上下文。公司称该模型在TerminalBench 2.1上得分80.52，完整研发成本为3200万美元。模型现已登陆Hugging Face、Together AI、GMI Cloud和OpenRouter，Fireworks据称将于当天晚些时候上线。
Ricursive称该模型以较小的参数规模和较低的已报告研发成本，在美国开放权重模型的智能体编程测试中取得领先表现，并可通过本地及托管平台使用。
Introducing Ripple-65B Preview,
a Frontier Open-Weight Model
Achieving U.S. Open-Weight SOTA on Agentic Coding
Ricursive Intelligence is a full-stack artificial intelligence lab building self-improving systems by co-optimizing hardware, software, and model.
To power our chip design platform, we trained a language model from scratch that sets a new U.S. open-weight SOTA on agentic coding. We optimized the model architecture for our training and serving platforms, driving substantial efficiency gains.
#Ripple-65B Preview#Ricursive Intelligence#TerminalBench 2.1#Reflection Beam 501B#Meta Muse Spark Open 816B#Thinking Machines Inkling 975B#NVIDIA Nemotron 3 Ultra 550B#Hugging Face#Together AI#GMI Cloud#OpenRouter#Fireworks