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LatestServiceNow27B Preview
ServiceNowText → Speech

ServiceNow Debuts Apriel Voice 27B, an Open Speech Model

The 27-billion-parameter preview unifies text-to-speech, transcription, and reasoning in a single open model.

Oct 28, 2026
NotableOther

ServiceNow has released a preview of Apriel Voice 27B, an open speech-language model that aims to handle spoken input and output within a single architecture rather than stitching together separate components. According to the project's paper listing on Hugging Face, the model is built around speech, reasoning, and tool use — the kind of capabilities that an AI assistant needs to act on voice commands, not just transcribe them.

At 27 billion parameters and a dense (non-MoE) design, Apriel Voice sits in a practical middle tier: large enough to carry reasoning ability, but small enough to be realistic for self-hosting. ServiceNow frames it as a unified system covering both ends of the audio pipeline.

What it brings together

  • Text-to-speech generation for natural spoken output
  • Speech recognition for transcribing audio to text
  • Reasoning to interpret requests and plan responses
  • Tool use, allowing the model to call external functions

The "Preview" label signals that this is an early look rather than a finished product, and the model carries a custom license rather than a standard permissive one — a detail worth checking before any commercial deployment.

Why it matters

Most voice assistants today chain a transcription model, a language model, and a speech synthesizer together, which adds latency and complexity. A single model that reasons and uses tools while handling speech natively could simplify that stack. It also extends ServiceNow's growing Apriel family into the audio domain, giving developers an open alternative for building voice-driven agents.

Sources

  • Apriel Voice 27B Preview: An Open Model for Speech, Reasoning, and Tool Use

    HF Papers

    Visit
OlderinclusionAI releases Ling-3.1-flash, an MIT MoE modelinclusionAI · Text / LLM · 7 days agoNewerMistral Large 4 Arrives as a 1T-Parameter MoEMistral AI · Text / LLM · 5 days ago

Get the model

HF Papers

Specs

Parameters27B
LicenseOTHER

Can you run it?

Runs on a 32 GB GPU at FP8.

  • BF16 (as published)

    80 GB GPU (A100 / H100) · 128 GB Mac Studio

    55 GB
  • FP8

    32 GB GPU (RTX 5090) · 48 GB Mac

    28 GB
Your machine
  • Precision not published; assuming 16-bit (BF16) weights.
  • Parameter count is an editorial estimate — no weights metadata on Hugging Face.

Estimated from the parameter count. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Speech → TextReasoningText → Speech

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