Re-exported llmdecoder sub-model for OmniVoice Web, a fully in-browser (WebGPU) TypeScript runtime for k2-fsa/OmniVoice. The public onnx-community/OmniVoice-Onnx llmdecoder uses causal attention (GroupQueryAttention + 2-D causal mask). OmniVoice is a bidirectional masked-diffusion LM, so with causal attention the model ignores the text prompt and emits generic speech. This repo hosts the Qwen3-0.6B core re-exported with a 4-D all-zero (non-causal) attention mask, which restores exact text conditioning. All three reproduce the PyTorch reference with WER 0 (round-trip Whisper) on the evaluation sentence. The embeddings/heads/tokenizer/codec sub-models remain on tools/exportllm.py --dtype…
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Pranav Jagtap
PranavBoi
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Datasets in Library0
Models on Hugging Face2
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Published tasks: Text to speech.
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