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LiquidAI d1-Omni-2B

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AI ModelsAI Models & LLMsOpen source · Web

LiquidAI d1-Omni-2B is a decision model designed for processing text, images, and audio. It provides calibrated answers quickly without generating tokens, making it ideal for applications like call routing and sound event detection.

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Description

LiquidAI d1-Omni-2B is a sophisticated decision model that processes text, images, and audio inputs to deliver calibrated answers in a single forward pass. Built on the LFM3-Omni-2B architecture, it features 24 layers, including gated short convolutions and attention mechanisms, and operates with a context length of 128K tokens. The model supports multiple languages, including English, Arabic, Chinese, and more, with audio capabilities in most of these languages. It is particularly effective for tasks that require audio input, such as call and voice-message routing, and sound event detection.

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The model is designed to provide rapid responses, with decision times as low as 5.8 milliseconds on an NVIDIA H100 and 3.7 milliseconds on an AMD MI325X. It excels in extracting text, numbers, and dates, locating objects in images, and estimating quantities. The d1-Omni-2B model is not intended for chat applications and does not generate transcripts or speech.

Performance benchmarks indicate that d1-Omni-2B surpasses other models like d1-omni-600M and d1-3B in various decision and image benchmarks, demonstrating its efficiency with fewer parameters. It is integrated into the Transformers library, allowing for seamless deployment and usage.

The model is licensed under the LFM Open License v1.0, ensuring open access for users. It is suitable for developers and researchers looking for a robust solution for multimodal decision-making tasks. However, it is important to note that long spoken passages may reduce accuracy, especially in non-Latin-script languages.

  • CategoryAI Models & LLMs
  • Pricing ModelOpen source
  • DeploymentCloud
  • PlatformsWeb

LiquidAI d1-Omni-2B Highlights

  • Processes text, images, and audio

  • Calibrated answers in one forward pass

  • Supports multiple languages

  • Rapid decision times

  • Extracts text, numbers, and dates

  • Locates objects in images

  • Estimates quantities

  • Integrated with Transformers library

Getting Started with LiquidAI d1-Omni-2B

  1. Access model: Visit Hugging Face

  2. Authenticate: Use API key

  3. Set up environment: Install dependencies

  4. Integrate via API: Use provided endpoints

  5. Optimize: Adjust parameters for specific tasks

LiquidAI d1-Omni-2B's Use Cases

  • Call Routing
  • Sound Event Detection
  • Image Object Location
  • Text Extraction
  • Multilingual Processing

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