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#LFM2.5

5 stories taggedLFM2.5.

A training progress visualization displayed on a monitor, with minimal resource indicators climbing steadily upward, surrounded by scattered notes about optimiz
Explained

A Tiny AI Model Just Got a Big Boost With 100 Training Steps and a Free GPU

A new public guide shows how to make a small language model noticeably better at following output instructions, using only free computing tools and about 500 training examples.

4 min read
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Frontier Labs

Liquid AI's New Draft Models Make Its LFMs Up to 3.2x Faster, No Quality Trade-off

A technique called speculative decoding lets a small helper model do the heavy lifting so the main model just checks the work. The result: dramatically faster output on everything from a data-centre GPU to a MacBook.

4 min read
Cavernous data centre aisle
Frontier Labs

Liquid AI Comprime Sus Modelos Pequeños en Teléfonos y Raspberry Pis Sin Perder Mucha Calidad

Un nuevo truco de entrenamiento llamado Quantization-Aware Distillation permite que los modelos de lenguaje compactos de Liquid AI se ejecuten en hardware económico manteniendo el 97% de la precisión de punto flotante completo.

3 min read
A vast digital archive rendered as glowing blue filing cabinets extending to the horizon in a dark server room, with beams of bright white light scanning rapidl
Frontier Labs

El nuevo modelo 2.6B de Liquid AI ejecuta agentes de IA directamente en tu portátil o teléfono

LFM2.5-2.6B es un modelo de IA compacto que puede manejar tareas de varios pasos sin enviar tus datos a la nube, y compite con modelos cuatro veces más grandes en puntuaciones clave.

3 min read
A wide 16:9 editorial photograph of an empty glass-walled boardroom at dusk, chairs pulled back from a long table, city lights blurring softly through floor-to-
Frontier Labs

Liquid AI lanza dos modelos de codificador eficiente que leen documentos largos rápidamente, incluso en una laptop

LFM2.5-Encoder-230M y LFM2.5-Encoder-350M pueden analizar un contrato completo en menos de 30 segundos en hardware informático ordinario, sin requerir chip especializado.

4 min read
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