liquidai/lfm2-8b-a1b-gguf overview

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    "summary": "LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. We're releasing the weights of our first MoE based on LFM2, with 8.3B total parameters and 1.5B active parameters. Find more information about LFM2-8B-A1B in our blog post.",
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    "readme_markdown": "---\nlibrary_name: transformers\nlicense: other\nlicense_name: lfm1.0\nlicense_link: LICENSE\nlanguage:\n- en\n- ar\n- zh\n- fr\n- de\n- ja\n- ko\n- es\npipeline_tag: text-generation\ntags:\n- liquid\n- lfm2\n- edge\n- moe\n- llama.cpp\n- gguf\nbase_model:\n- LiquidAI/LFM2-8B-A1B\n---\n\n<center>\n<div style=\"text-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>\n<div style=\"display: flex; justify-content: center; gap: 0.5em;\">\n<a href=\"https://playground.liquid.ai/\"><strong>Try LFM</strong></a> • <a href=\"https://docs.liquid.ai/lfm/getting-started/welcome\"><strong>Docs</strong></a> • <a href=\"https://leap.liquid.ai/\"><strong>LEAP</strong></a> • <a href=\"https://discord.com/invite/liquid-ai\"><strong>Discord</strong></a>\n</div>\n</center>\n\n<br>\n\n# LFM2-8B-A1B-GGUF\n\nLFM2 is a new generation of hybrid models developed by [Liquid AI](https://www.liquid.ai/), specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. \n\nWe're releasing the weights of our first MoE based on LFM2, with 8.3B total parameters and 1.5B active parameters.\n\n- LFM2-8B-A1B is the best on-device MoE in terms of both **quality** (comparable to 3-4B dense models) and **speed** (faster than Qwen3-1.7B).\n- **Code and knowledge** capabilities are significantly improved compared to LFM2-2.6B.\n- Quantized variants fit comfortably on high-end **phones, tablets, and laptops**.\n\nFind more information about LFM2-8B-A1B in our [blog post](https://www.liquid.ai/blog/).\n\n## 🏃 How to run LFM2\n\nExample usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):\n\n```\nllama-cli -hf LiquidAI/LFM2-8B-A1B-GGUF\n```",
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      {
        "id": "Sadiah/ollama-q4_k_m-LFM2-8B-A1B-GGUF",
        "author": "Sadiah",
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  "last_modified": "2026-03-30T13:41:14.000Z",
  "created_at": "2025-10-06T16:09:29.000Z",
  "pipeline_tag": "text-generation",
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