LiquidAI/d1-Omni-2B
audio-text-to-text model by LiquidAI
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Model card & documentation
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d1-Omni-2B is a decision model for text, pictures, and audio, built on LFM3-Omni-2B. It returns calibrated answers in one forward pass, without generating tokens. Find more information about open d1 in our release blog post. The LFM3 family includes base, text, vision, audio, omni, and decision models. d1-Omni-2B adds audio to d1-2B. Property Specification Checkpoint Post-trained decision model, built on LFM3-Omni-2B Parameters 2.17B Architecture LFM3 backbone, 24 layers: 13 gated short convolutions, 5 sliding-window attention, 6 global attention Context length 128K tokens Vocabulary 128,000 tokens Input A state (text or JSON), pictures, a video, audio clips, and any number of named questions, written or spoken Output Typed answers with their probabilities, with no generated tokens or speech Languages English, Arabic, Chinese, French, German, Italian, Japanese, Korean, Portuguese, Spanish, Vietnamese, Thai, Indonesian, Hindi, Russian, Polish. Speech covers the same languages except Hindi, Thai, Vietnamese, and Indonesian. License LFM Open License v1.0…
Read the full model card ↗ · Preview checked 2026-10-29T09:52:45.891Z
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Model overview
LiquidAI/d1-Omni-2B is a audio-text-to-text model repository published by LiquidAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- audio-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 1,287
- Cumulative likes
- 84
- Hugging Face trending score
- 84
- Reported safetensors parameters
- 2,166,928,384
- Architecture
- D1Model
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-24T19:30:58.000Z
- Last modified
- 2026-10-29T14:55:59.000Z
Compatibility and lineage
Reported languages: en, ar, zh, fr, de, it, ja, ko, pt, es, vi, th, id, hi, ru, pl
Reported base models: LiquidAI/LFM3-Omni-2B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.