51 lines
1.7 KiB
Markdown
51 lines
1.7 KiB
Markdown
---
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library_name: transformers
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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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pipeline_tag: text-generation
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tags:
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- liquid
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- lfm2
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- edge
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base_model: 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 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.
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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 this model [here](https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript).
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## 🏃 How to run
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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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## 📬 Contact
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If you are interested in custom solutions with edge deployment, please contact [our sales team](https://www.liquid.ai/contact). |