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  • Home | VLMspec
    VLMspec VLMspec specializes in modification and calibration of performance vehicles with a strong focus on forced induction vehicles from the late 1980s to present
  • GitHub - zju-jiyicheng SpecVLM: [EMNLP 2025 Main] SpecVLM: Enhancing . . .
    To mitigate the information loss of recent video token reduction methods and accelerate the decoding stage of Vid-LLMs losslessly, we introduce SpecVLM, a training-free speculative decoding (SD) framework tailored for Vid-LLMs that incorporates staged video token pruning
  • VLMspec Products and Services
    Our products are manufactured in house or by select vendors with top quality materials, and tested with rigorous real world use We are proud to put our name on every one of our products or builds and are sure that you will be satisfied with the results Check out what we provide here
  • SpecVLM: Fast Speculative Decoding in Vision-Language Models
    We study speculative decoding for VLMs and introduce SpecVLM, a practical system that (1) establishes a strong EAGLE-2-style baseline, EagleVLM, delivering 1 5–2 3 × end-to-end speedups over full autoregressive inference, and (2) further accelerates VLM inference with an elastic visual compressor that adaptively selects among pruning, pooling, c
  • SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier . . .
    To mitigate the information loss of recent video token reduction methods and accelerate the decoding stage of Vid-LLMs losslessly, we introduce SpecVLM, a training-free speculative decoding (SD) framework tailored for Vid-LLMs that incorporates staged video token pruning
  • SpecVLM README. md at main · zju-jiyicheng SpecVLM · GitHub
    To mitigate the information loss of recent video token reduction methods and accelerate the decoding stage of Vid-LLMs losslessly, we introduce SpecVLM, a training-free speculative decoding (SD) framework tailored for Vid-LLMs that incorporates staged video token pruning
  • SPEC VLM: Enhancing Speculative Decoding of Video LLMs via Verier . . .
    propose SPECVLM, a training-free speculative decoding framework tailored for Vid-LLMs As illustrated in Fig 1, SPECVLM integrates staged video to- ken pruning guided by verifier attention, extending de
  • SpecVLM: Fast Speculative Decoding in Vision-Language Models
    We study speculative decoding for VLMs and introduce SpecVLM, a practical system that (1) establishes a strong EAGLE-2-style baseline, EagleVLM, delivering 1 5--2 3x end-to-end speedups over full autoregressive inference, and (2) further accelerates VLM inference with an elastic visual compressor that adaptively selects among pruning, pooling, c
  • VLMspec (@vlmspec) • Instagram photos and videos
    2,403 Followers, 1,803 Following, 456 Posts - VLMspec (@vlmspec) on Instagram: "Van Leuven Motorsport Specialties Tuning Engineering Firm est 2004 Software-Builds-Design Quality>Quantity Tahoe Carson PNW 530-380-AUDI @raceprep"





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