{
  "id": 12669649,
  "title": "Multimodal open d1 decision models for the edge",
  "url": "https://urgent.news/2026/10/07/multimodal-open-d1-decision-models-for-the-edge",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-07T16:54:33.000Z",
  "source": {
    "name": "Hugging Face",
    "slug": "hugging-face",
    "url": "https://huggingface.co/blog/LiquidAI/open-d1"
  },
  "original_language": "en",
  "account": "Today, two open decision models from the d1 decision model family were released: d1-3B and d1-omni-600M (experimental). These models, built on Liquid Foundation Models (LFMs), differ from generative models as they provide single forward-pass answers instead of token generation. The d1-3B and d1-omni-600M models were trained on various public datasets, including reading comprehension, toxicity detection, intent classification, medical QA, and cross-lingual understanding. Upon benchmarking, d1-3B achieved a mean score of 82.9, the highest among tested models, while d1-omni-600M scored 78.4, outperforming Decider 2B (77.1) despite having only a quarter of its parameters. It was also confirmed that d1-3B retains vision capabilities from its LFM2.5-VL-3B backbone on standard vision benchmarks, and d1-omni-600M supports all three modalities. For further validation, d1-3B was evaluated on the NVIDIA stack across several devices, with edge inference showing that it answers a single question in under 50 ms on all measured devices. GPU inference demonstrated that d1-3B answers a question in under 10 ms and processes a 384px image in under 18 ms. The d1 decision models are suitable for fast, structured decisions, including multimodal inputs. When high decision quality is required at a smaller size, d1-3B is recommended, while d1-omni-600M is ideal for situations where footprint is a concern. The models can be installed using their dependencies (requiring transformers =5.14) and loaded with trust_remote_code=True. The d1-3B model card provides instructions on how to run d1-omni-600M. Both decision models are open-weight and available on Hugging Face today. If this work is used, please cite the release blog.",
  "summary": null,
  "key_points": [
    "d1-3B and d1-omni-600M open decision models released",
    "d1-3B achieves highest mean score of 82.9 in benchmarks",
    "d1-3B processes single question in under 50 ms on edge devices"
  ],
  "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."
}