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      "title": "LFM2.5-2.6B: small and capable local AI model",
      "source_url": "https://www.liquid.ai/blog/lfm2-5-2-6b",
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      "permalink": "https://techflow.svetandroida.cz/en/tip/lfm2-5-2-6b-small-and-capable-local-ai-model",
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      "summary": "Liquid AI releases LFM2.5-2.6B, a 2.6-billion-parameter model designed for agentic tasks that runs locally on devices including phones. The model undergoes four-stage training: supervised fine-tuning, teacher specialization, multi-domain on-policy distillation, and agentic reinforcement learning. Benchmarks show it competes with models nearly four times larger and has day-one support across major inference frameworks including llama.cpp, MLX, and vLLM.",
      "summary_generated_by": "ai",
      "submitted_by": "Petr Mišák",
      "submitted_kind": "editor",
      "published_at": "2026-08-11T08:42:28Z",
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