z4ixsechs6nd-heightsai-insegcsyx6t-sys-rod/lfm2.5-1.2b-thinking-gguf overview

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    "readme_markdown": "---\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- lfm2.5\n- edge\n- llama.cpp\n- gguf\nbase_model:\n- LiquidAI/LFM2.5-1.2B-Thinking\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# LFM2.5-1.2B-Thinking\n\nLFM2.5 is a new family of hybrid models designed for **on-device deployment**. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.\n\nFind more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking\n\n## 🏃 How to run LFM2.5\n\nExample usage with [llama.cpp](https://github.com/ggml-org/llama.cpp):\n\n```\nllama-cli -hf LiquidAI/LFM2.5-1.2B-Thinking-GGUF\n```\n",
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