Ar4ikov / VibeVoice-ASR-DFlash2

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Total runs: 24
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7-day runs: 22
30-day runs: 22
Model's Last Updated: September 26 2026
automatic-speech-recognition

Introduction of VibeVoice-ASR-DFlash2

Model Details of VibeVoice-ASR-DFlash2

VibeVoice-ASR-DFlash2

VibeVoice-ASR (7B) , the original BF16 weights as Microsoft published them, with its DFlash 2 drafter bundled in drafter/ : one download, and vibevoice.c decodes with speculative decoding -- the drafter proposes 8 tokens in one pass, the model checks them in one pass and keeps the ones it agrees with. The check is exact : every checked row is computed with the arithmetic of the model's own decode step, so the transcript is byte-for-byte the one without the drafter. (With a drafter vibevoice.c attends with flashinfer, which checks rows together; the transcript is then --attn flashinfer 's.)

Use

Needs vibevoice.c with DFlash 2 support: branch dflash2 ( PR #48 ), in the next release. A model directory's drafter/ is used without asking:

vv_cli --model ./VibeVoice-ASR-DFlash2 --audio talk.wav                  # with the drafter
vv_cli --model ./VibeVoice-ASR-DFlash2 --audio talk.wav --draft none     # plain decoding
vv_cli serve --model ./VibeVoice-ASR-DFlash2 --slots 4

vibevoice.c runs BF16 weights as dense FP16 (about 19 GB of VRAM for a 7B, drafter included); --quant int4 quantizes them at load, and the drafter works with that too.

Results

vibevoice.c b72be15 (branch dflash2 ), RTX 3090, greedy decoding, decode tokens per second:

plain drafted speedup tokens per block same transcript
2-minute file 57 tok/s 156 tok/s 2.73x 3.52 yes
32-minute file 52 tok/s 124 tok/s 2.36x 3.07 yes

BF16 weights run as dense FP16. Plain = the same model with --draft none --attn flashinfer (with a drafter vibevoice.c attends with flashinfer); against the default without a drafter (fa2): 2.79x on the 2-minute file, 2.51x on the 32-minute file. --draft-check exact , the check width measured as it runs.

Inside
  • The model: the files of microsoft/VibeVoice-ASR at revision d0c9efdb , unchanged (17.37 GB) -- its card has the model, the evaluation and the license.
  • tokenizer.json , tokenizer_config.json , vocab.json , merges.txt , special_tokens_map.json , preprocessor_config.json : from Ar4ikov/VibeVoice-ASR-AWQ-W4A16-ASYM at revision 22b44c85 -- the upstream repository leaves them out (they are Qwen2.5's tokenizer and the audio preprocessor's settings), and vibevoice.c needs them next to the weights.
  • drafter/ : Ar4ikov/VibeVoice-ASR-DFlash2-Drafter at revision 795e2a5d (1.66 GB): 5 Qwen3-style layers reading the model's layers 1/7/13/19/25, a candidate selector, a 32768-id draft vocabulary; BF16, held as INT4 by default at load ( --draft-quant f16 keeps FP16). Its card has the architecture and the training.
License

MIT, like VibeVoice.

Runs of Ar4ikov VibeVoice-ASR-DFlash2 on huggingface.co

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VibeVoice-ASR-DFlash2 install

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