The Hugging Face card says d3-ultra reads text, images or video once and returns a probability for every answer to every question asked about it, covering choice, yes/no, score, box and tracking decisions, without generating text. It has 26.09B parameters,...
VQV Signal
vLLM Semantic Router releases d3-ultra, a 26B open "decision model" that scores answers instead of generating text
The Hugging Face card says d3-ultra reads text, images or video once and returns a probability for every answer to every question asked about it, covering choice, yes/no, score, box and tracking decisions, without generating text. It has 26.09B parameters,...
The Hugging Face card says d3-ultra reads text, images or video once and returns a probability for every answer to every question asked about it, covering choice, yes/no, score, box and tracking decisions, without generating text. It has 26.09B parameters, a 131,072-token context per question, and an Apache-2.0...
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Public Interest components
VQV surfaced this signal because it is recent, relevant to LLM Inference, connected to Scobleizer News Pulse (X).
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