publish sensevoice-small OpenASR packs

.gitattributes

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+*.oasr filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: other
+license_name: funasr-model-license-v1.1
+license_link: https://github.com/modelscope/FunASR/blob/main/MODEL_LICENSE
+base_model: FunAudioLLM/SenseVoiceSmall
+pipeline_tag: automatic-speech-recognition
+library_name: openasr
+tags:
+  - automatic-speech-recognition
+  - speech-to-text
+  - openasr
+  - oasr
+  - sensevoice
+---
+
+<div align="center">
+
+# SenseVoice Small · OpenASR
+
+**Fast multilingual speech recognition from FunAudioLLM — non-autoregressive SenseVoice, tuned for Chinese, Cantonese, English, Japanese and Korean**
+
+[![License](https://img.shields.io/badge/license-FunASR_Model_License_v1.1-2563eb.svg)](https://github.com/modelscope/FunASR/blob/main/MODEL_LICENSE)
+[![Format](https://img.shields.io/badge/format-.oasr-7c3aed.svg)](https://github.com/QuintinShaw/openasr)
+[![Runtime](https://img.shields.io/badge/runtime-OpenASR-111827.svg)](https://openasr.org)
+[![Base model](https://img.shields.io/badge/base-SenseVoiceSmall-f59e0b.svg)](https://huggingface.co/FunAudioLLM/SenseVoiceSmall)
+
+Native speech-to-text in the **[OpenASR](https://github.com/QuintinShaw/openasr)** runtime —
+engineered for peak performance on CPU & GPU, **no Python at inference time**.
+
+</div>
+
+---
+
+## ✨ Highlights
+
+- 🌏 **Multilingual, zh-first** — high-precision Mandarin, Cantonese, English, Japanese and Korean with automatic language detection
+- ⚡ **Non-autoregressive speed** — an end-to-end architecture the upstream clocks at about 70 ms for 10 seconds of audio, 15 times faster than Whisper-Large
+- 🀄 **Chinese benchmark strength** — trained on over 400,000 hours of speech; the upstream reports better Chinese and Cantonese accuracy than Whisper on AISHELL and WenetSpeech
+- 🪶 **Compact and local** — a small checkpoint that transcribes fully offline, from a 130 MB q4_k build up to full-fidelity fp16
+- 🦀 **Native in OpenASR** — `.oasr` packs run with no Python at inference, engineered for peak performance on CPU & GPU
+
+## 🚀 Quickstart
+
+```bash
+# 1. Install the OpenASR CLI  ·  https://openasr.org
+# 2. Pull a build (pick a quant — see the table below)
+openasr pull sensevoice-small:fp16
+
+# 3. Transcribe
+openasr transcribe audio.wav --model sensevoice-small
+```
+
+All builds for this model:
+
+```bash
+openasr pull sensevoice-small:fp16
+openasr pull sensevoice-small:q8
+openasr pull sensevoice-small:q4
+```
+
+## 📦 Available builds
+
+| Quant | File (`.oasr`) | Size | RAM peak | RTF · M1 CPU | RTF · M1 GPU | JFK ΔWER vs fp16 |
+|:------|:---------------|-----:|---------:|-------------:|-------------:|-----------------:|
+| fp16 | `sensevoice-small-fp16.oasr` | 470 MB | 745 MB | 0.18× | 0.04× | 0.0% |
+| q8_0 | `sensevoice-small-q8_0.oasr` | 252 MB | 514 MB | 0.18× | 0.04× | 0.0% |
+| q4_k | `sensevoice-small-q4_k.oasr` | 136 MB | 395 MB | 0.23× | 0.05× | 0.0% |
+
+<sub>RTF = real-time factor on the fixed 11s JFK clip (**lower is faster**); RAM peak measured per pack
+in an isolated subprocess. JFK ΔWER compares each quantized build's JFK transcript to this model's
+fp16 JFK transcript, so it measures quantization drift rather than absolute recognition accuracy.
+**fp16** is the recommended default — near-reference quality at a fraction of the
+footprint.</sub>
+
+## 🧠 About SenseVoice Small
+
+SenseVoice Small is the compact member of **SenseVoice**, the speech understanding model family
+open-sourced by **FunAudioLLM** (Alibaba). Trained on more than **400,000 hours** of speech, it
+delivers high-precision transcription with automatic language detection for **Mandarin Chinese,
+Cantonese, English, Japanese and Korean**, and the upstream card reports Chinese and Cantonese
+accuracy ahead of Whisper on open benchmarks such as AISHELL and WenetSpeech. Its
+**non-autoregressive end-to-end** architecture makes inference exceptionally fast — the upstream
+team clocks about 70 ms for 10 seconds of audio, 15x faster than Whisper-Large. The upstream model
+also carries speech emotion recognition and audio event detection; the OpenASR packs currently
+surface plain transcription only (emotion/event tags are not yet exposed). This OpenASR repo
+repackages the original weights as `.oasr` packs that run natively in the OpenASR runtime — no
+Python at inference time. The **fp16** build is the recommended default for maximum fidelity;
+**q8_0** halves the footprint at near-reference quality and **q4_k** suits tight-memory devices.
+
+## ⚙️ How these packs were made
+
+Converted from [FunAudioLLM/SenseVoiceSmall](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) with the OpenASR importer:
+
+```bash
+openasr model-pack import sensevoice <src> <out>.oasr \
+  --package-id sensevoice-small --quantization {fp16,q8-0,q4-k}
+```
+
+The `.oasr` container is GGUF-backed; packs use zero-copy mmap weight binding and graph
+buffer reuse to keep peak memory low.
+
+## ⚖️ License
+
+These packs **inherit the upstream model's license: FunASR Model License v1.1**
+([source](https://github.com/modelscope/FunASR/blob/main/MODEL_LICENSE)). OpenASR packaging retains the upstream copyright and
+NOTICE; the only modifications are format conversion and quantization.
+
+## 🙏 Acknowledgements
+
+This pack is a redistribution of **SenseVoice Small**, created and open-sourced by the
+**FunAudioLLM team at Alibaba**
+([FunAudioLLM/SenseVoiceSmall](https://huggingface.co/FunAudioLLM/SenseVoiceSmall)), built on the
+**FunASR** open-source speech toolkit from Alibaba's ModelScope community. All credit for the
+original architecture, training, and weights belongs to the FunAudioLLM and FunASR teams; the
+license is inherited from and identical to the upstream model — the
+**[FunASR Model License v1.1](https://github.com/modelscope/FunASR/blob/main/MODEL_LICENSE)**,
+which permits commercial use and requires this attribution. Thank you to FunAudioLLM, the FunASR
+team, and Alibaba for releasing their work openly. OpenASR only performs format conversion,
+quantization, runtime verification, and local-inference adaptation.
+
+## 🔗 Links
+
+- 🦀 **OpenASR** — <https://github.com/QuintinShaw/openasr>
+- 🌐 **Website** — <https://openasr.org>
+- 🤗 **Upstream model** — [FunAudioLLM/SenseVoiceSmall](https://huggingface.co/FunAudioLLM/SenseVoiceSmall)

sensevoice-small-fp16.oasr

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sensevoice-small-q4_k.oasr

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