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RicursiveAI releases Ripple-65B Preview

Original title: ricursiveAI/Ripple-65B-Preview — new model trending #30 on Hugging Face

Hugging Face trending modelsby ricursiveAI ()9 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

65B parameter model pretrained on 12 trillion tokens with 80.52 score on TerminalBench 2.1 and support for 1M context.

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. The release includes an instruction-tuned model in BF16 and NVFP4 numerics, and a BF16 base model.

Key facts
  • 65B parameters pretrained on 12T tokens
  • 80.52 on TerminalBench 2.1
  • Surpasses larger models like Reflection Beam 501B
  • Fits on NVIDIA DGX Spark
  • 250 tok/s token generation on 2xB200
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From the original article

9 min read at huggingface.co

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Hugging Face trending models

By ricursiveAI · huggingface.co

Read the full article at Hugging Face trending models

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