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VibeVoice-ASR-Streaming-1.5B-GGUF

Name: VibeVoice-ASR-Streaming-1.5B-GGUF
Author: christopherthompson81

by christopherthompson81 · source Hugging Face · updated 2026-09-20

mit3.1 GB~5 GB RAMsource aliveunlabeled

VibeVoice ASR Streaming 1.5B GGUF for audio.cpp

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Source and license

Source: https://huggingface.co/christopherthompson81/VibeVoice-ASR-Streaming-1.5B-GGUF
License: mit
Requirements: about 5 GB of RAM, 3.1 GB on disk (estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models). Runs with whisper.cpp.
Tags: gguf audio.cpp asr streaming speaker-attributed-transcription automatic-speech-recognition en zh es pt de ja ko fr ru it

Numbers

39,182 downloads on Hugging Face
0 likes
license mit
3.1 GB for vibevoice-asr-streaming-1.5b-q8_0.gguf
54,249 stars on ggml-org/whisper.cpp
352 open issues and PRs
last release v1.9.5 on 2026-10-06
15,664 npm downloads a week for nodejs-whisper
latest nodejs-whisper@0.3.1

Numbers as of 2026-10-09 19:01 UTC, from the source API.

Summary

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Files

file	quant	size
`vibevoice-asr-streaming-1.5b-bf16.gguf`	BF16	5.3 GB
`vibevoice-asr-streaming-1.5b-q4_k.gguf`	Q4_K	2.0 GB
`vibevoice-asr-streaming-1.5b-q8_0.gguf`	Q8_0	3.1 GB

From the source README

VibeVoice ASR Streaming 1.5B GGUF for audio.cpp

This repository contains audio.cpp-native GGUF builds of
`microsoft/VibeVoice-ASR-Streaming-1.5B`.

The 1.5B checkpoint runs through the same audio.cpp loader as the 7B with no
code changes: the layer count, hidden size, and head counts are read from the
checkpoint's own `config.json`, and the tensor names are identical.

Use with audio.cpp

Install the recommended Q8_0 package through the audio.cpp model manager:

python3 tools/model_manager_v2.py install vibevoice_asr_streaming_1_5b_q8_0

Run offline ASR:

build/debug/bin/audiocpp_cli \
  --task asr \
  --family vibevoice_asr_streaming \
  --model models/VibeVoice-ASR-Streaming-1.5B-GGUF/vibevoice-asr-streaming-1.5b-q8_0.gguf \
  --backend cuda \
  --threads 8 \
  --audio input.wav \
  --text-out transcript.txt \
  --metrics \
  --log

Run the server with the model loaded:

{
  "host": "127.0.0.1",
  "port": 8080,
  "backend": "cuda",
  "threads": 8,
  "models": [
    {
      "id": "vibevoice-streaming-1.5b",
      "family": "vibevoice_asr_streaming",
      "path": "models/VibeVoice-ASR-Streaming-1.5B-GGUF/vibevoice-asr-streaming-1.5b-q8_0.gguf",
      "task": "asr",
      "mode": "streaming"
    }
  ]
}

Then start the server:

build/debug/bin/audiocpp_server --config server.json --log

Card id model:hf:christopherthompson81/VibeVoice-ASR-Streaming-1.5B-GGUF · collected 2026-10-09 19:01 UTC · JSON