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lemuriandezapada/VibeVoice-ASR-awq-int4

sourceHugging Facemitupdated 7mo agoView on Hugging Face
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VibeVoice-ASR AWQ INT4

This repository contains a 4-bit AWQ quantized export of microsoft/VibeVoice-ASR.

Quantization

  • —Method: AWQ
  • —Bits: 4
  • —Group size: 128
  • —Logical parameter count: 8,674,021,857

Repository layout

This model is stored in a split VibeVoice layout:

  • —root directory: VibeVoice audio and non-decoder weights
  • —decoder-awq/: quantized Qwen2 decoder weights

Keep this layout intact when downloading or mirroring the repository.

Metadata

The root config.json includes:

  • —vibevoice_metadata
  • —vibevoice_decoder_model_path
  • —vibevoice_decoder_quantization

These fields identify the split decoder path and preserve the logical source-model metadata.

Validation

This AWQ export was validated against the full upstream VibeVoice-ASR model on short audio samples.

  • —outputs remained valid JSON transcript arrays
  • —output similarity to the full model remained high on tested samples

Serving note for vLLM 0.17.x

On current vLLM 0.17.x CUDA builds, this checkpoint is compatible with the faster Marlin-backed AWQ path.

  • —prefer letting vLLM infer the backend from config.json
  • —if you must set it explicitly, use awq_marlin rather than plain awq

In local testing on an RTX A6000, forcing plain awq was substantially slower than letting vLLM auto-select the Marlin kernel.

Upstream references

  • —Code: https://github.com/microsoft/VibeVoice
  • —Base model: https://huggingface.co/microsoft/VibeVoice-ASR
  • —Report: https://arxiv.org/pdf/2601.18184

Notes

  • —This is a quantized derivative export, not the original upstream checkpoint.
  • —Base model licensing and usage terms follow the upstream VibeVoice-ASR release.
  • —Pure-VibeVoice compatibility patches for vLLM 0.17.x are included under patches/vllm_0_17/.