liquidai/lfm2-2.6b-transcript-gguf overview

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    "license_name": "lfm1.0",
    "license_link": "LICENSE",
    "language": [
      "en"
    ],
    "pipeline_tag": "text-generation",
    "tags": [
      "liquid",
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    "base_model": "LiquidAI/LFM2-2.6B-Transcript",
    "frontmatter": {
      "library_name": "transformers",
      "license": "other",
      "license_name": "lfm1.0",
      "license_link": "LICENSE",
      "language": [
        "en"
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    "summary": "Based on 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**: You can find more information about this model here.",
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    "readme_markdown": "---\nlibrary_name: transformers\nlicense: other\nlicense_name: lfm1.0\nlicense_link: LICENSE\nlanguage:\n- en\npipeline_tag: text-generation\ntags:\n- liquid\n- lfm2\n- edge\nbase_model: LiquidAI/LFM2-2.6B-Transcript\n---\n\n<div align=\"center\">\n  <img \n    src=\"https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png\" \n    alt=\"Liquid AI\" \n    style=\"width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;\"\n  />\n  <div style=\"display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;\">\n    <a href=\"https://playground.liquid.ai/\"><strong>Try LFM</strong></a> • \n    <a href=\"https://docs.liquid.ai/lfm\"><strong>Documentation</strong></a> • \n    <a href=\"https://leap.liquid.ai/\"><strong>LEAP</strong></a>\n  </div>\n</div>\n\n# LFM2-2.6B-Transcript-GGUF\n\nBased 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.\n\n**Highlights**:\n- Cloud-level summary quality, approaching much larger models\n- Under 3GB of RAM usage for long meetings\n- Fast summaries in seconds, not minutes\n- Runs fully locally across CPU, GPU, and NPU\n\nYou can find more information about this model [here](https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript).\n\n## 🏃 How to run\n\nExample usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):\n\n```\nllama-cli -hf LiquidAI/LFM2-2.6B-Transcript-GGUF\n```\n\n## 📬 Contact\n\nIf you are interested in custom solutions with edge deployment, please contact [our sales team](https://www.liquid.ai/contact).",
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  "tags": [
    "transformers",
    "gguf",
    "liquid",
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    "edge",
    "text-generation",
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  "likes": 13,
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  "last_modified": "2026-04-06T18:53:24.000Z",
  "created_at": "2025-12-30T18:02:51.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
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  "author": "LiquidAI",
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