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Ripple-65B LLM requires custom builds for local execution

By PulseAugur Editorial · [1 sources] ·

The Ripple-65B large language model is now available for local execution, though it requires specific configurations and patched software. Standard tools like Ollama and the default llama.cpp build cannot load the model's GGUF files, necessitating a modified version of llama.cpp. Performance benchmarks, primarily from Ricursive, indicate strong results on Terminal-Bench 2.1, surpassing other models, but Ripple-65B is a dense model, meaning it utilizes all 65 billion weights for each token, which impacts bandwidth requirements. AI

IMPACT Requires custom software builds and specific hardware for local deployment, impacting accessibility for users.

RANK_REASON The item details how to run a specific LLM locally, including necessary software modifications and hardware considerations, which falls under tooling and infrastructure.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ripple-65B LLM requires custom builds for local execution

How we ranked this

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The item details how to run a specific LLM locally, including necessary software modifications and hardware considerations, which falls under tooling and infrastructure.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Alan West ·

    How to Run Ripple-65B Locally (Ollama and Stock llama.cpp Won't Load It)

    <p>You can run Ripple-65B Preview locally today, but none of the routes are stock. A DGX Spark gets about 26 tok/s on code through a community server kit, GGUF files need a patched llama.cpp because Ollama and stock builds can't load them yet, and the MLX build needs <code>--trus…

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