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LatestStepFun2-mini
StepFunAny-to-Any

StepFun Releases Step-Audio 2 mini, a Unified Audio AI

The new open-source model handles both speech recognition and audio generation in a single, end-to-end architecture.

Aug 28, 2025
NotableApache 2.0
Step-Audio 2 mini

AI research company StepFun has released Step-Audio 2 mini, a new audio language model designed for both understanding and generating human speech. The model is presented as a compact, end-to-end system, suggesting an efficient and unified architecture.

Unlike traditional pipelines that use separate components for automatic speech recognition (ASR) and text-to-speech (TTS), Step-Audio 2 mini integrates these capabilities. This approach aims to simplify the development of voice-enabled applications by handling the entire audio processing loop within a single framework.

The 'mini' in its name suggests it is a smaller variant, likely optimized for resource efficiency, though a specific parameter count was not disclosed. By releasing the model under the permissive Apache 2.0 license, StepFun is making it available for a wide range of academic and commercial projects.

Step-Audio 2 mini joins a growing field of open, multimodal models that seek to process and generate data across different formats. Interested developers can explore the model and its capabilities on the Hugging Face Hub.

Sources

  • stepfun-ai/Step-Audio-2-mini

    Hugging Face

    Visit
OlderTencent's Voyager Model Turns Images into 3D WorldsTencent · Image → Video · last yearNewerMicrosoft Releases VibeVoice, a Podcast-Ready TTS ModelAoi Ot · Text → Speech · last year

Get the model

Hugging Face

Specs

Context window16K tokens
Size16.6 GB
PrecisionBF16
ArchitectureStepAudio2ForCausalLM
LicenseAPACHE-2.0
Downloads4K
Likes269

Can you run it?

Runs on a laptop — about 6.4 GB at 4-bit.

  • BF16 (as published)

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    18.1 GB
  • 8-bit

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    10.3 GB
  • 4-bit

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    6.4 GB
Your machine
  • KV cache sized for 8,192 tokens of context; longer prompts need proportionally more.

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Any-to-AnyText → SpeechSpeech → Text

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