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LFM3 by Liquid AI

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

Listing details

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Listed website
producthunt.com
Directory record created
Oct 29, 2026
Last record update
Oct 29, 2026

Listing information

  • Overview
  • 8 key features
  • 4 use cases

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LFM3 by Liquid AI preview

What is 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.

Key Features

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

Use Cases

  • 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

Why do startups need this tool?

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.

FAQs

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