Liquid AI released DSpark draft model checkpoints for three LFM2.5 models, enabling speculative decoding that speeds up inference by up to 3.18x on GPUs and 2.87x on-device without changing output qua…
Liquid AI released DSpark draft model checkpoints for three LFM2.5 models, delivering up to 3.18x faster decoding on an H100 and up to 2.87x on an M4 Max MacBook Pro without changing model outputs. Th…
Liquid AI released DSpark draft model checkpoints for its LFM2.5 family, claiming up to 3.18x throughput improvement on GPU and up to 2.87x on-device, with day-one support for llama.cpp and SGLang. Th…
Liquid AI released Q4_0 checkpoints for its LFM2.5 language models trained with quantization-aware distillation (QAD), recovering 96.5% to 97.4% of the accuracy lost to quantization across four models…
ZeroGPU released a Batch API that enables overnight tagging of customer reviews using a small, efficient model (LFM2.5-1.2B-Instruct) instead of expensive frontier LLMs. The API processes thousands of…
A developer tested five small LLMs (under 2B parameters) on a budget PC with an Intel i5 CPU, no GPU, and single-channel RAM. The LFM2.5-1.2B-Instruct model emerged as the best all-around performer fo…