{
  "schema_version": "1.0",
  "id": "archive:https://huggingface.co/blog/cerebras-gemma4-voice-ai",
  "slug": "cerebras-gemma4-voice-ai-1v86fff",
  "url": "https://feed7.dev/p/cerebras-gemma4-voice-ai-1v86fff",
  "title": "Hugging Face and Cerebras bring Gemma 4 to real-time voice AI",
  "why_included": "Hugging Face demos real-time speech-to-speech from open parts: Nvidia Parakeet ASR, Gemma 4 31B on Cerebras inference, Alibaba's Qwen3TTS — pipeline code is open and already runs on 9,000+ Reachy Mini robots.",
  "summary": "**The gist** Hugging Face and Cerebras show a real-time voice pipeline built entirely from open components: Nvidia's **Parakeet** for speech recognition, **Gemma 4 31B** running on Cerebras inference, and Alibaba's **Qwen3TTS** for output. The code is in the **huggingface/speech-to-speech** repo with a Spaces demo, and the stack already ships on **9,000+ Reachy Mini** robots.",
  "practical_implication": "**Why it matters** A modular ASR-to-LLM-to-TTS chain on a fast inference provider is now a copyable recipe for adding voice to an agent product without a proprietary end-to-end voice model — each stage swaps independently, so you can trade model quality against latency per stage.",
  "agent_context": "**The gist** Hugging Face and Cerebras show a real-time voice pipeline built entirely from open components: Nvidia's **Parakeet** for speech recognition, **Gemma 4 31B** running on Cerebras inference, and Alibaba's **Qwen3TTS** for output. The code is in the **huggingface/speech-to-speech** repo with a Spaces demo, and the stack already ships on **9,000+ Reachy Mini** robots.\n\n**Why it matters** A modular ASR-to-LLM-to-TTS chain on a fast inference provider is now a copyable recipe for adding voice to an agent product without a proprietary end-to-end voice model — each stage swaps independently, so you can trade model quality against latency per stage.\n\n**Watch out** The post claims low latency but publishes **no benchmarks** — no tokens per second, no **P95 latency** figures — and no Cerebras pricing. Measure the pipeline on your own workload before depending on it.",
  "source": {
    "name": "huggingface.co",
    "url": "https://huggingface.co/blog/cerebras-gemma4-voice-ai",
    "published_at": null
  },
  "source_class": "blog_post",
  "content_type": "Source",
  "layer": "model",
  "domains": [
    "audio"
  ],
  "topics": [
    "open-models"
  ],
  "verification": {
    "status": "source_linked",
    "label": "Source Linked",
    "method": "source_feed",
    "verified_at": null
  },
  "uncertainty": [
    "The post claims low latency but publishes **no benchmarks** — no tokens per second, no **P95 latency** figures — and no Cerebras pricing. Measure the pipeline on your own workload before depending on it."
  ],
  "lifecycle": "Current",
  "published_at": null,
  "modified_at": null,
  "supersedes": [],
  "expires_at": null,
  "formats": {
    "html": "https://feed7.dev/p/cerebras-gemma4-voice-ai-1v86fff",
    "json": "https://feed7.dev/p/cerebras-gemma4-voice-ai-1v86fff.json",
    "markdown": "https://feed7.dev/p/cerebras-gemma4-voice-ai-1v86fff.md"
  }
}