AtomicChat/Ripple-65B-Preview-GGUF
text-generation model by AtomicChat
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Model card & documentation
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The first GGUF of Ricursive's Ripple-65B Preview. We wrote its llama.cpp support, merged upstream in b12167. Built from ricursiveAI's original BF16 weights. Built by the team behind Atomic Chat, the app that runs open-weight models locally and offline. Runs on stock llama.cpp b12167 or newer, no patch: Ripple support was merged in PR #31692. Apps that bundle an older llama.cpp, LM Studio and Ollama among them, load these files once they move to b12167 or newer. Ripple-65B Preview is a 65B dense model trained from scratch by Ricursive Intelligence on 12T tokens, post-trained for agentic coding, Apache-2.0. This repo has GGUF files of it for llama.cpp. AD (Atomic Dynamic) files use our per-tensor layouts, quantized with an importance matrix computed on the BF16 weights over our public 4.7M-token calibration build, rendered with Ripple's own chat template. File names are Ripple-65B-Preview-.gguf; for a split file, point llama.cpp at the first part.…
Read the full model card ↗ · Preview checked 2026-11-11T06:54:48.271Z
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Model overview
AtomicChat/Ripple-65B-Preview-GGUF is a text-generation model repository published by AtomicChat on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- gguf
- Recent downloads (30 days)
- 81,328
- Cumulative likes
- 51
- Hugging Face trending score
- 50
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-04T21:11:26.000Z
- Last modified
- 2026-11-06T11:28:22.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: ricursiveAI/Ripple-65B-Preview
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-11T06:54:41.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.