LFM2.5 8B A1B

Name: LFM2.5 8B A1B
Author: Liquid AI

by Liquid AILFM2.5

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released May 2026128K context≈ 96,000 words8B params

A compact open-weight model from LiquidAI built on the LFM2.5 architecture, handling up to 128K tokens of context. Its relatively small 8B parameter footprint with a 1B active parameter design suggests efficiency-focused inference, though specific capability details beyond text processing are limited in public documentation.

LFM2.5 8B A1B

by Liquid AILFM2.5

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released May 2026128K context≈ 96,000 words8B params

A compact open-weight model from LiquidAI built on the LFM2.5 architecture, handling up to 128K tokens of context. Its relatively small 8B parameter footprint with a 1B active parameter design suggests efficiency-focused inference, though specific capability details beyond text processing are limited in public documentation.

Glossary

Active Parameter DesignA model architecture where only a subset of parameters are used for each token, reducing computational cost while maintaining model capacity.ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.Parameter FootprintThe total number of learnable weights in a model, which directly affects its memory requirements and computational cost — smaller footprints run faster on consumer devices.TokensThe basic units of text that a language model processes, typically representing words or word fragments.

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Glossary