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TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
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VultronRetrieverPrime is the flagship of the VultronRetriever family, a late-interaction (ColBERT-style) retriever that scores document pages directly from their rendered image: layout, tables, charts and text, across six languages. It ranks first on the full ViDoRe V3 board with 320-dimensional multi-vectors, an 8–12× smaller index than the 2560–4096-dim models below it. The family has three tiers on one 320-dim recipe: the 8B Prime (this model) for maximum accuracy, the 4.5B Core for the accuracy/footprint mid-point, and the 0.8B Flash for latency- and footprint-sensitive serving. Trained and evaluated on Vultr Cloud. Ranked by **ViDoRe V3** (mean nDCG@10), the headline benchmark; V1 and V2 are shown alongside. Our three tiers are in bold; models with a partial or missing V3 sit at the bottom.

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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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