tozp/sensevoice-small-onnx-int8-qdq

automatic-speech-recognition model by tozp

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Model card & documentation

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This repository provides an Explicit INT8 QDQ (QuantizeLinear / DequantizeLinear) static quantization of FunAudioLLM/SenseVoiceSmall. Unlike typical CPU-only dynamic INT8 models (which rely on MatMulInteger and cause subgraph fragmentation and out-of-memory errors on GPU compilers), this model adheres strictly to the NVIDIA TensorRT Explicit QDQ specification. It achieves hardware-level Tensor Core fusion on NVIDIA GPUs while maintaining 100% native CPU compatibility through…

tozp/sensevoice-small-onnx-int8-qdq on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. SenseVoiceSmall INT8 QDQ (TensorRT & Universal CPU)
  2. Key Highlights
  3. Benchmark & Fidelity Evaluation
  4. 1. Accuracy & Numerical Fidelity
  5. 2. Model Size Comparison
  6. Graph Contract
  7. Quick Start & Usage
  8. 1. Running on CPU (Universal standard computer)
  9. 2. Running on NVIDIA GPU via TensorRT / CUDA
  10. Citation

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Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

tozp/sensevoice-small-onnx-int8-qdq is a automatic-speech-recognition model repository published by tozp on Hugging Face. The source reports the tensorrt library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
automatic-speech-recognition
Library
tensorrt
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-09-22T06:13:10.000Z
Last modified
2026-09-22T06:15:26.000Z

Compatibility and lineage

Reported languages: zh, en, yue, ja, ko

Reported base models: FunAudioLLM/SenseVoiceSmall

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-22T06:37:17.952Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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