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voconly-org/sensevoice-small-gguf overview

SenseVoice Small GGUF A multilingual ASR model from Alibaba's Tongyi Lab, converted to GGUF format for broad compatibility. Model Overview SenseVoice Small fea…

ggufasrautomatic-speech-recognitionsensevoicemultilingualspeech-to-textalibabazhenyuejakoardefresptitruthvihitrid

Runs locally from ~164.5 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
automatic-speech-recognition

Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
sensevoice-small-F16.ggufGGUFF16448.6 MBDownload
sensevoice-small-Q5_K_M.ggufGGUFQ5_K_M164.5 MBDownload
sensevoice-small-Q8_0.ggufGGUFQ8_0241.0 MBDownload

Model Details

Model IDvoconly-org/sensevoice-small-gguf
Authorvoconly-org
Pipelineautomatic-speech-recognition
Licenseapache-2.0
Base modeliic/SenseVoiceSmall
Last modified2026-09-07T07:27:53.000Z

Model README

---

license: apache-2.0

language: [zh, en, yue, ja, ko, ar, de, fr, es, pt, it, ru, th, vi, hi, tr, id, ms, nl, sv, da, fi, pl, cs, fil, fa, el, ro, hu, mk]

tags:

  • asr
  • automatic-speech-recognition
  • sensevoice
  • gguf
  • multilingual
  • speech-to-text
  • alibaba

base_model:

  • iic/SenseVoiceSmall

---

SenseVoice-Small GGUF

A multilingual ASR model from Alibaba's Tongyi Lab, converted to GGUF format for broad compatibility.

Model Overview

SenseVoice-Small features:

  • Parameters: Small variant
  • Language Support: Multiple languages including Chinese, English, Cantonese, and more
  • Quantization Format: GGUF (llama.cpp compatible)
  • Architecture: FunASR-based speech recognition
  • Features: High-accuracy recognition, real-time transcription, noise robustness
  • Use Cases: Speech-to-text, subtitle generation, meeting transcription, multilingual transcription

Available Quantized Versions

| Filename | Quantization Type | File Size | Description |

|----------|-------------------|-----------|-------------|

| sensevoice-small-f16.gguf | F16 | ~449 MB | Full precision, highest accuracy |

| sensevoice-small-q5_k_m.gguf | Q5_K_M | ~164 MB | Balanced accuracy and speed |

| sensevoice-small-q8_0.gguf | Q8_0 | ~241 MB | High-accuracy quantization |

Usage

llama.cpp Command Line

./main -m sensevoice-small-f16.gguf -f audio.wav --output-txt

Python (llama-cpp-python)

from llama_cpp import Llama

# Load model
llm = Llama(
    model_path="sensevoice-small-f16.gguf",
    n_gpu_layers=-1,  # Use GPU acceleration
)

# Perform speech recognition
result = llm.transcribe("audio.wav")
print(result["text"])

Performance Features

  • High multilingual recognition accuracy
  • Excellent Chinese recognition, supports Mandarin and Cantonese
  • Noise resistance capabilities
  • Supports real-time streaming transcription

Technical Specifications

  • Architecture: Transformer-based encoder-decoder structure
  • Sample Rate: 16kHz
  • Input Format: WAV/PCM audio
  • Output Format: Text

License

Apache 2.0 License

Acknowledgments

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