LiLiCorr
AssessTechniques
A speculative decoding technique that drafts tokens with a smaller helper model to speed up generation.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 8The New Stack·10/15/2026model_releaseNvidia shrinks a 74B agent model to run on laptops
Nvidia introduced Nemotron 3.5 Super VL, a 120B vision-language model for enterprise agent workloads, along with two smaller Nemotron 3.5 Bolt models designed for local coding, research, and conversational tasks. The company emphasized speed and efficiency, citing hybrid Mamba-2, attention, MoE layers, and speculative decoding, though benchmark results against competing open models were mixed.