FluidAudio Web β€” raw model weights

Model weights for fluidaudio-web: fully in-browser inference (WebGPU + WebAssembly) for FluidAudio's speech models.

These are raw weights only β€” no ONNX, no onnxruntime. Each engine is a hand-written forward pass (WebGPU/WASM/JS) that loads these tensors directly and, where applicable, dequantizes them in-shader. Weights are extracted from the source models and parity-verified against the originals before publishing.

Layout (one folder per engine)

folder model weights
vad/ Silero VAD v5 (16 kHz) fp32
parakeet/ Parakeet TDT 0.6B v3 int8 encoder + fp32 decoder/joint
nemotron/ Nemotron 3.5 streaming ASR 0.6B (40 langs) int8 encoder + fp32 decoder
eou/ Parakeet EOU 120M (end-of-utterance ASR) fp16 encoder + fp32 decoder
voicechat-stt/ NVIDIA VoiceChat-11B user-transcription chain (609M causal FastConformer + RNNT) fp16 encoder + fp32 decoder
whisper/ Whisper base fp32 encoder + fp32 decoder
sortformer/ Sortformer streaming diarization 4spk v2.1 int8 encoder + fp32 head
kokoro/ Kokoro TTS 82M β€” English fp32
kokoro-zh/ Kokoro TTS 82M β€” Chinese fp32

Format

  • *.bin β€” concatenated little-endian tensors.
  • manifest.json β€” name -> { dims, offset, len } (offset/len in elements, not bytes).

Load: fetch the .bin, slice each tensor per the manifest. Extraction scripts and the forward passes live in the fluidaudio-web repo (scripts/, src/engines/).

Quantized engines additionally carry per-tensor scales / palettes (documented per folder) for in-shader dequant.

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