---
title: ricursiveAI/Ripple-65B-Preview
url: https://recentmodel.com/models/ricursiveAI/Ripple-65B-Preview/
status: main board
published: 2026-11-04T02:41:21Z
updated: 2026-11-06T00:26:12Z
source: https://huggingface.co/ricursiveAI/Ripple-65B-Preview
---

# ricursiveAI/Ripple-65B-Preview

Ripple-65B Base Preview is a pretrain-only checkpoint without any midtraining or synthetic QA data. Dense, 65B params. Context: 2M tokens (config). License: apache-2.0. Vendor-reported: "The base model overall beats Poolside Laguna M.1, and is comparable with DeepSeek V3.1 and V4 Flash on reasoning, math, and code."

- Vendor-reported: The base model overall beats Poolside Laguna M.1, and is comparable with DeepSeek V3.1 and V4 Flash on reasoning, math, and code.

- **Org:** ricursiveAI
- **Released:** 2026-11-04
- **Status:** main board
- **License:** apache-2.0 (permissive)
- **Parameters:** 64.8B
- **Architecture:** dense · RicursiveForCausalLM
- **Context:** 2,097,152 tokens (config.json)
- **Signal:** 584 HF likes · 10675 downloads · 1 X likes · 1 X post(s)

## Runs on

mixed: real files + estimate; sizing calculation, not tested.

- Q4 ~42.6 GB (estimated): 48GB GPU (RTX 6000 Ada / A6000), Mac 64GB (M1 Max), Mac 96GB, CPU only, 64GB RAM (slow)
- Q8 ~72.5 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), Strix Halo 128GB unified (~96GB usable), Mac 128GB, CPU only, 128GB RAM (slow)
- FP16 ~133.3 GB: 2× DGX Spark (256GB), Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/ricursiveAI/Ripple-65B-Preview)