liquidai/lfm2-1.2b-tool-gguf overview

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    "base_model": "LiquidAI/LFM2-1.2B-Tool",
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    "summary": "Based on LFM2-1.2B, LFM2-1.2B-Tool is designed for **concise and precise tool calling**. The key challenge was designing a non-thinking model that outperforms similarly sized thinking models for tool use. **Use cases**: You can find more information about other task-specific models in this 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\nbase_model: LiquidAI/LFM2-1.2B-Tool\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/chat\">\n<a href=\"https://playground.liquid.ai/\"><strong>Try LFM</strong></a> • <a href=\"https://docs.liquid.ai/lfm\"><strong>Documentation</strong></a> • <a href=\"https://leap.liquid.ai/\"><strong>LEAP</strong></a></a>\n</div>\n</center>\n\n# LFM2-1.2B-Tool-GGUF\n\nBased on [LFM2-1.2B](https://huggingface.co/LiquidAI/LFM2-1.2B), LFM2-1.2B-Tool is designed for **concise and precise tool calling**. The key challenge was designing a non-thinking model that outperforms similarly sized thinking models for tool use.\n\n**Use cases**:\n\n- Mobile and edge devices requiring instant API calls, database queries, or system integrations without cloud dependency.\n- Real-time assistants in cars, IoT devices, or customer support, where response latency is critical.\n- Resource-constrained environments like embedded systems or battery-powered devices needing efficient tool execution.\n\nYou 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).\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/LFM2-1.2B-Tool-GGUF\n```",
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  "last_modified": "2026-04-06T18:53:24.000Z",
  "created_at": "2025-09-05T16:22:34.000Z",
  "pipeline_tag": "text-generation",
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