← Back to Model Beat
Models·1d ago·all news from August 20, 2026

Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs

Liquid AI has introduced LFM2.5-DSpark, a set of three draft models designed to accelerate the performance of LFM2.5. By utilizing speculative decoding, these 300M parameter models allow the system to generate text up to 3.18 times faster while maintaining the same output as the original model.

Covered by 1 source

Related stories

ModelsDeepSeek Unveils Test Model to Rival Anthropic’s Opus 4.8Aug 19 · 14 sourcesModelsIntroducing ChatGPT for Teens: Built for learning, backed by protectionsAug 18 · 7 sourcesModelsGPT-5.6 Sol drives OpenAI's revenue surge as it regains ground on AnthropicAug 20 · 2 sourcesModelsGLM-5.3 tops the open-model rankings and undercuts rivals on price, but its release is delayedAug 17 · 6 sources