Vllm Semantic
The release itself is niche — a 27B router, not a frontier model — but it points at a real trend: the routing/decision layer of AI stacks is quietly becoming its own model category. Worth noting the 87.2 score comes from the team's own SR-Text benchmark, so treat it as a self-grade until independent evals show up.… more
Open weights make it attractive for teams doing cheap multimodal triage before spending tokens on a large model. In our view, specialized small models like this matter more than their headlines suggest — they cut latency and inference bills in production, which is where the real competition is moving.
vLLM Semantic Router Releases d3-ultra: A 27B Open Multimodal Decision Model
vLLM Semantic Router released d3-ultra, a 27B open-weight multimodal decision model. It reads text, images and video once, then returns probabilities for every answer, scoring 87.2 on the team’s SR-Text test. The post vLLM Semantic Router Releases d3-ultra: A 27B Open Mul…
Source:
Marktechpost
Discussion (0)