LiquidAI/LFM3-Audio-2B

any-to-any model by LiquidAI

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LFM3-Audio-2B is a compact, fully featured audio model that runs locally on laptops and edge devices. It takes text or audio as input and responds with text, speech, or both. LFM3-Audio-2B introduces an in-house audio encoder and LiquidCodec audio tokenizer, improving speech quality over LFM2.5-Audio. Find more information about the LFM3 family in our release blog post. The LFM3 family includes base, text, vision, audio, omni, and decision models. Property Specification Parameters 2B total Architecture LFM3 backbone, causal audio encoder, and LiquidCodec audio tokenizer Input Text or audio; audio encoder operates at 16 kHz Output Text, 24 kHz speech, or interleaved text and speech Context length 32K tokens (input + output) Streaming Causal audio encoding, incremental prefill, and streaming speech generation Speech languages / locales Arabic, Danish, German, Greek, British English, American English, Finnish, French, Hebrew, Italian, Japanese, Korean, Dutch, Polish, Portuguese, Spanish, Swedish, Turkish, Chinese License LFM Open License…

LiquidAI/LFM3-Audio-2B on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T09:24:56.713Z

Inside the original model card — Document outline
  1. LFM3-Audio-2B
  2. Model details
  3. Inference
  4. Transformers quick start
  5. Usage examples
  6. Fine-tuning
  7. Performance
  8. Benchmarks
  9. Streaming performance
  10. Architecture
  11. Citation

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Model overview

LiquidAI/LFM3-Audio-2B is a any-to-any 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
any-to-any
Library
transformers
Recent downloads (30 days)
4,790
Cumulative likes
166
Hugging Face trending score
165
Reported safetensors parameters
2,002,332,928
Architecture
Lfm3AudioForConditionalGeneration
License
other
Access
Not gated by Hugging Face
Created
2026-09-08T18:23:36.000Z
Last modified
2026-10-31T00:51:45.000Z

Compatibility and lineage

Reported languages: en, ar, da, de, el, fi, fr, he, it, ja, ko, nl, pl, pt, es, sv, tr, zh

Base-model lineage was not included.

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.

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Model card and usage instructions

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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.

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