Dataset updated 2026-11-12Preview releaseRipple 65B Preview
Ripple 65B Preview loads in 38.8 GB at Q4_K_M, comfortably from 64 GB of memory, Macs included, starting at the MacBook Pro M5 Max 128GB. Below is the memory math we ran for it, the smallest card that fits, and the fastest machine we track.
- Parameters
- 64.8B
- Format
- Q4_K_M
- Min memory
- 64 GB
- Best for
- Agentic coding, Reasoning, Long context
How much memory does Ripple 65B Preview need?
Ripple 65B Preview is a 64.8B dense model built for agentic coding, reasoning, long context. The weights alone take 38.8 GB at Q4_K_M; add context and the OS, and it belongs in the 64 GB memory class. Every number below comes from the ModelFit engine: speeds are estimates, labeled est., because we do not benchmark hardware ourselves.
Run with llama.cpp: llama-server -hf prithivMLmods/Ripple-65B-Preview-GGUF:Q4_K_M.
KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).
Which machines run Ripple 65B Preview?
- Smallest GPU
- NVIDIA RTX PRO 6000 Blackwellest. 40 tok/s · 96 GB VRAMtypical error 10%
- Fastest
- NVIDIA RTX PRO 6000 Blackwellest. 40 tok/stypical error 10%
- Runs on a Mac?
- MacBook Pro M5 Max 128GBest. 13 tok/stypical error 10%
Verdicts come from the same engine that powers our fit checker: memory capacity first, bandwidth for speed. How we compute these numbers · What typical error means · Hugging Face model card
Go deeper
- Also tracked: Ripple 65B Preview (Q8)(Q8_0, 68.8 GB, min 96 GB)
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Config reports
No speed test run for this model yet. Run the speed test: npx @modelfit/cli@latest bench
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Frequently asked questions
How much memory does Ripple 65B Preview need?
38.8 GB for the Q4_K_M weights, plus ~1.0 GB of KV-cache at 16k context, about 39.8 GB total. Comfortable from 64 GB of VRAM or unified memory.
Does Ripple 65B Preview run on a Mac?
Yes, from the MacBook Pro M5 Max 128GB (est. 13 tok/s, typical error 10%). Unified memory means the RAM budget is the only limit.
What is the smallest GPU for Ripple 65B Preview?
The NVIDIA RTX PRO 6000 Blackwell (96 GB VRAM) is the smallest tracked card that runs Ripple 65B Preview comfortably, est. 40 tok/s, typical error 10%.
Cite this page
ModelFit: Ripple 65B Preview, specs, memory math and hardware verdicts. https://modelfit.io/models/ripple-65b/ (dataset updated 2026-11-12, CC BY 4.0).