Liquid AI released LFM2.5-VL-3B-DSpark, an experimental speculative-decoding draft model for its LFM2.5-VL-3B vision-language model that adds about 279.5M parameters and delivers up to 3.13x faster de…
Liquid AI released an experimental 279.5-million-parameter draft model, DSpark, for its LFM2.5-VL-3B vision-language model on September 24th, which the company says cuts decoding time by up to 3.13x o…
LiquidAI released LFM2.5-VL-DSpark, a 279.5M-parameter speculative decoding drafter for its LFM2.5-VL-3B vision-language model that adds 8.9% to the target model's parameter count while delivering dec…
Liquid AI released LFM2.5-VL-3B, a 3.1B-parameter vision-language model for on-device deployment, averaging 69.4 across 28 vision benchmarks, matching InternVL-3.5-4B and 0.7 points behind Qwen3.5-4B.…
Liquid AI released LFM2.5-VL-3B, a 3.1B parameter vision-language model for edge devices, claiming it leads its size class on real-world image tasks while supporting screen/UI understanding, grounding…