{
  "id": 242390,
  "title": "No cloud, no GPUs, no problem: Liquid AI's new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi",
  "url": "https://urgent.news/2026/08/06/no-cloud-no-gpus-no-problem-liquid-ais-new-model-lfm2-5-2-6b-brings",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-06T22:56:06.000Z",
  "source": {
    "name": "VentureBeat",
    "slug": "venturebeat",
    "url": "https://venturebeat.com/technology/no-cloud-no-gpus-no-problem-liquid-ais-new-model-lfm2-5-2-6b-brings-powerful-ai-agents-to-devices-as-small-as-a-raspberry-pi"
  },
  "original_language": "en",
  "account": "Liquid AI, a startup founded in 2023 by former MIT computer scientists, has unveiled a new open-weight language model named LFM2.5-2.6B. This model is specifically designed for agentic workloads and can run on local hardware, including smartphones, laptops, and even a Raspberry Pi, without needing cloud inference or GPUs. This makes it particularly suitable for high-volume, well-defined tasks that can be performed locally, such as tool calling, document management, calendar and workflow automation, and always-on background routines. Additionally, it can be useful in connectivity-limited environments like vehicles and robotics. The model contains 2.6 billion parameters and supports a 128,000-token context window, and it includes native tool calling capabilities. Liquid AI offers both a pre-trained model and a base checkpoint for developers who wish to fine-tune it on Hugging Face, with support for major inference stacks like llama.cpp, MLX, vLLM, SGLang, and ONNX. The company emphasizes that LFM2.5-2.6B is tailored for enterprises where latency, privacy, deployment flexibility, or inference costs are more critical than absolute benchmark performance. Maxime Labonne, Liquid AI's head of post-training, noted that the model was developed with the assumption that language models will increasingly be consumed through agent frameworks rather than traditional conversational interfaces, and that it is particularly good at using tools.",
  "summary": "Liquid AI, a startup founded in 2023 by former MIT computer scientists, has introduced LFM2.5-2.6B, a new open-weight language model specifically designed for agentic workloads. This model can run entirely on local hardware, such as smartphones, laptops, and even a Raspberry Pi, without relying on cloud inference or GPUs. This capability opens up new possibilities for edge AI applications, particularly for high-volume, well-defined tasks like tool calling, document management, and workflow automation. The model's open weights license also provides enterprises with greater flexibility, especially in regulated industries or with sensitive information that they prefer not to send to the cloud.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}