---
library_name: transformers
license: other
license_name: lfm1.0
license_link: LICENSE
language:
- en
pipeline_tag: text-generation
tags:
- liquid
- lfm2
- edge
base_model: LiquidAI/LFM2-2.6B-Transcript
---

<div align="center">
  <img 
    src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" 
    alt="Liquid AI" 
    style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
  />
  <div style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;">
    <a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • 
    <a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> • 
    <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a>
  </div>
</div>

# LFM2-2.6B-Transcript-GGUF

Based on [LFM2-2.6B](https://huggingface.co/LiquidAI/LFM2-2.6B), LFM2-2.6B-Transcript is designed for **private, on-device meeting summarization**. We partnered with AMD to deliver cloud-level summary quality while running entirely locally, ensuring your meeting data never leaves your device.

**Highlights**:
- Cloud-level summary quality, approaching much larger models
- Under 3GB of RAM usage for long meetings
- Fast summaries in seconds, not minutes
- Runs fully locally across CPU, GPU, and NPU

You can find more information about this model [here](https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript).

## 🏃 How to run

Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):

```
llama-cli -hf LiquidAI/LFM2-2.6B-Transcript-GGUF
```

## 📬 Contact

If you are interested in custom solutions with edge deployment, please contact [our sales team](https://www.liquid.ai/contact).