personaplex-7b-v1-onnx – AI Model by elbruno | AlphaNeural AI

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elbruno/
personaplex-7b-v1-onnx

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speech-to-speech

nvidia/personaplex-7b-v1

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PersonaPlex-7B-v1 ONNX

ONNX-exported components of NVIDIA PersonaPlex-7B-v1 for use with ElBruno.PersonaPlex C# library.

Files

File	Size	Description
mimi_encoder.onnx	178 MB	Mimi audio encoder (24kHz audio -> discrete tokens)
mimi_decoder.onnx	170 MB	Mimi audio decoder (discrete tokens -> 24kHz audio)

Architecture

These are the Mimi audio codec components of PersonaPlex, based on the Moshi architecture:

Encoder: SEANet convolutional encoder + ProjectedTransformer + SplitResidualVectorQuantizer
- Input: [batch, 1, samples] float32 (24kHz mono audio)
- Output: [batch, 8, frames] int64 (8 codebooks, ~12.5 frames/sec)
Decoder: SplitResidualVectorQuantizer + ProjectedTransformer + SEANet convolutional decoder
- Input: [batch, 8, frames] int64
- Output: [batch, 1, samples] float32

Usage with C#

`csharp using ElBruno.PersonaPlex.Pipeline;

// Models download automatically on first run using var pipeline = await PersonaPlexPipeline.CreateAsync(); `

Export Details

Exported from PyTorch using orch.onnx.export (opset 17)
Source: nvidia/personaplex-7b-v1
Mimi model: 79.3M parameters
Dynamic axes enabled for batch size and sequence length

License

MIT (same as the export tooling). The base model weights are under NVIDIA Open Model License.