- Who it helps
- Developers evaluating self-hosted models and researchers comparing training recipes.
- Availability
- The official card lists Apache 2.0, instruction checkpoints in BF16 and NVFP4, and a separate base model. The file tree could not be inspected.
Deployment scale
Ricursive documents support for up to one million context tokens and positions the model for hardware such as DGX Spark. This does not establish a fit or speed on an ordinary laptop; context memory also matters.
Ripple-65B Preview offers a dense open-weight coding model ↗
What the comparisons mean
The vendor reports 80.52 on Terminal-Bench 2.1. A public Reddit discussion includes hardware questions and community conversion instructions, but these are not a controlled independent benchmark.
Ripple-65B Preview offers a dense open-weight coding model ↗Ripple launch and serving claims ↗Ripple hardware discussion ↗
What you can do
- Start with the model card and verify runtime compatibility for your hardware. Open reference ↗
Where the evidence stops
No weights downloaded or inference executed. Ricursive Intelligence is distinct from the similarly named Recursive.
Sources read. Sources read November 5, 2026 UTC. No third-party code, model inference, account workflow or benchmark executed.
Sources & further reading
Hugging Face · official
Ripple-65B Preview offers a dense open-weight coding model ↗
Identifies the subject, documented capability or specific verification limit.
Ricursive Intelligence · page checked 2026-11-05
148 likes · observed 2026-11-05 07:14 UTC
Reddit · discussion
Ripple hardware discussion ↗
Identifies the subject, documented capability or specific verification limit.
returnity and r/LocalLLaMA contributors · page checked 2026-11-05
Web · official
Ripple launch and serving claims ↗
Identifies the subject, documented capability or specific verification limit.
Ricursive Intelligence · page checked 2026-11-05
Coverage note: Independent attention and end-to-end execution remain unverified.
The record over time (1)
Dated source checks and published explanations. An observation date can differ from the original release date.
- · Added to Current
Ripple-65B Preview is a 65-billion-parameter language model with published weights and a focus on coding agents.