LFM3 is Liquid AI's third generation of Liquid Foundation Models, offered with open weights and a shared backbone across text, vision, audio, omni, and decision models.

How large are the models?

The first release consists of six 2B-class models, including a 1.7B text model that fits in about 1 GB at 4-bit precision.

What context length does the text model support?

The 1.7B text model supports a 256K context.

Where can the weights be accessed?

The model weights are available on Hugging Face.

What hardware can LFM3 run on?

Liquid says the models run on phones, laptops, and edge devices, and can be fine-tuned on one GPU.

LFM3 by Liquid AI

Six 2B-class models for phones, laptops and robots

Modelos de Lenguaje

Desarrollo

Visitar

Detalles del listado

Registro de directorio de HiCyou

Incluido

Sitio web listado: producthunt.com
Registro del directorio creado: 29 oct 2026
Última actualización del registro: 29 oct 2026

Información incluida en el listado

Resumen
8 funciones clave
4 casos de uso

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¿Qué es LFM3 by Liquid AI?

LFM3 by Liquid AI is the third generation of Liquid Foundation Models, released with open weights and a shared backbone spanning text, vision, audio, omni, and decision models. The initial release includes six 2B-class models, among them a 1.7B text model that fits in roughly 1 GB at 4-bit precision and supports a 256K context. The models are designed to run on phones, laptops, and edge devices and can be fine-tuned on a single GPU. Weights are available on Hugging Face.

Características principales

Third generation of Liquid Foundation Models with open weights

Shared backbone architecture across text, vision, audio, omni, and decision models

Six 2B-class models in the first release

1.7B text model that fits in about 1 GB at 4-bit

256K context length on the compact text model

Runs on phones, laptops, and edge devices

Fine-tunable on a single GPU

Weights published on Hugging Face

Casos de uso

Deploying compact language models on mobile devices and edge hardware
Fine-tuning small foundation models on limited GPU resources
Building multimodal applications with a unified model family
Integrating open-weight LLMs into offline or on-device products

¿Por qué las startups necesitan esta herramienta?

LFM3 gives startups open-weight, compact foundation models that can run directly on consumer and edge hardware, making it possible to build AI-powered features without relying on large infrastructure. A 1.7B text model that fits in about 1 GB at 4-bit and supports a 256K context, combined with single-GPU fine-tuning, lowers the cost and complexity of shipping on-device AI experiences.

Preguntas frecuentes

Alternativas a LFM3 by Liquid AI

Llama

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Gemma

Phi

Qwen

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