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--- |
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license: other |
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license_name: lfm1.0 |
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license_link: LICENSE |
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language: |
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- en |
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- ar |
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- zh |
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- fr |
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- de |
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- ja |
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- ko |
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- es |
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pipeline_tag: text-generation |
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tags: |
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- liquid |
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- lfm2.5 |
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- edge |
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- llama.cpp |
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- gguf |
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base_model: |
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- LiquidAI/LFM2-2.6B-Transcript |
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--- |
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<div align="center"> |
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<img |
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src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" |
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alt="Liquid AI" |
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style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;" |
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/> |
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<div style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;"> |
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<a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • |
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<a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> • |
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<a href="https://leap.liquid.ai/"><strong>LEAP</strong></a> |
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</div> |
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</div> |
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# LFM2-2.6B-Transcript-GGUF |
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Based on [LFM2-2.6B](https://huggingface.co/LiquidAI/LFM2-2.6B), LFM2-2.6B-Transcript is designed to **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. |
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**Highlights**: |
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- Cloud-level summary quality, approaching much larger models |
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- Under 3GB of RAM usage for long meetings |
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- Fast summaries in seconds, not minutes |
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- Runs fully locally across CPU, GPU, and NPU |
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You can find more information about other task-specific models in this [blog post](https://www.liquid.ai/blog/introducing-liquid-nanos-frontier-grade-performance-on-everyday-devices). |
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## 🏃 How to run LFM2.5 |
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Example usage with [llama.cpp](https://github.com/ggml-org/llama.cpp): |
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``` |
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llama-cli -hf LiquidAI/LFM2-2.6B-Transcript-GGUF |
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``` |
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