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 LFM2.5-8B-A1B with a tokenizer expanded from 65K to 128K vocabulary, doubling the size to improve tokenization for Hindi, Vietnamese, and Thai without retraining from scratch. The n…
Liquid AI released LFM2.5-8B-A1B, an edge model designed for fast tool calling on consumer hardware, with a 128K context window and pretraining scaled to 38 trillion tokens. The model, available on Hu…
Liquid AI released LFM2.5-8B-A1B, an on-device Mixture-of-Experts model with 8.3 billion total parameters and 1.5 billion active parameters per token, designed for tool calling and reasoning on consum…