> ## Documentation Index
> Fetch the complete documentation index at: https://docs.liquid.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to LFM Docs!

> Liquid Foundation Models are a new generation of hybrid models developed by Liquid AI, designed for efficient deployment anywhere.

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  src="https://mintcdn.com/liquidai/DopNhNlw8MHIKIfv/logo/liquiddocs.png?fit=max&auto=format&n=DopNhNlw8MHIKIfv&q=85&s=a9be73412203ab1d3dfac3e4062809de"
  alt="Liquid Foundation Models Documentation"
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  width="5939"
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## Why LFM2?

Built on a new hybrid architecture, LFM2 sets a new standard in quality, speed, and memory efficiency.

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    <span><strong>3x Faster Training</strong> — New hybrid architecture accelerates training and inference</span>
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    <span><strong>State-of-the-art Quality</strong> — Outperforms similar-sized models on benchmarks</span>
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    <span><strong>Memory Efficient</strong> — Optimized for resource-constrained environments</span>
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    <span><strong>Deploy Anywhere</strong> — Compatible with major inference frameworks and platforms</span>
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[Learn more about the architecture →](https://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models)

## Get Started

<CardGroup cols={2}>
  <Card title="Explore Models" icon="brain" href="/lfm/models/complete-library">
    Browse our collection of language models and their capabilities
  </Card>

  <Card title="Inference Guides" icon="play" href="/deployment/gpu-inference/transformers">
    Learn how to run models for different use cases and platforms
  </Card>

  <Card title="Fine-tuning" icon="sliders" href="/lfm/fine-tuning/trl">
    Customize models for your specific requirements
  </Card>

  <Card title="Examples" icon="code" href="/examples/index">
    End-to-end examples for mobile, laptop, and web
  </Card>
</CardGroup>

<Panel>
  * [Liquid Playground](https://playground.liquid.ai/chat?model=cmk0wefde000204jp2knb2qr8)
  * [HuggingFace Collections](https://huggingface.co/LiquidAI/collections)
  * [OpenRouter API](https://openrouter.ai/liquid)
  * [LEAP Model Library](https://leap.liquid.ai/models)
</Panel>