publish xasr-zh-en OpenASR packs

.gitattributes

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

README.md

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+---
+license: apache-2.0
+base_model: GilgameshWind/X-ASR-zh-en
+pipeline_tag: automatic-speech-recognition
+library_name: openasr
+tags:
+  - automatic-speech-recognition
+  - speech-to-text
+  - openasr
+  - oasr
+  - xasr
+---
+
+<div align="center">
+
+# X-ASR zh-en · OpenASR
+
+**Bilingual Chinese + English streaming speech recognition — a compact icefall Zipformer2 transducer**
+
+[![License](https://img.shields.io/badge/license-Apache--2.0-2563eb.svg)](https://huggingface.co/GilgameshWind/X-ASR-zh-en/blob/main/README.md)
+[![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-X--ASR--zh--en-f59e0b.svg)](https://huggingface.co/GilgameshWind/X-ASR-zh-en)
+
+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
+
+- 🇨🇳🇬🇧 **Chinese + English** — one bilingual checkpoint for zh/en speech, including code-switched audio
+- ⚡ **Streaming-first, offline-capable** — a cache-aware streaming Zipformer2 transducer for low-latency captions that also runs full-file offline transcription
+- 🪶 **Compact ~0.16B** — a 6-stack Zipformer2 encoder + stateless RNN-T decoder + tanh joiner over a 5000-token BPE vocab, light enough for on-device CPU
+- 🦀 **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 xasr-zh-en:q8
+
+# 3. Transcribe
+openasr transcribe audio.wav --model xasr-zh-en
+```
+
+All builds for this model:
+
+```bash
+openasr pull xasr-zh-en:fp16
+openasr pull xasr-zh-en:q8
+openasr pull xasr-zh-en:q4
+```
+
+## 📦 Available builds
+
+| Quant | File (`.oasr`) | Size | RAM peak | RTF · M1 CPU | RTF · M1 GPU | JFK ΔWER vs fp16 |
+|:------|:---------------|-----:|---------:|-------------:|-------------:|-----------------:|
+| fp16 | `xasr-zh-en-fp16.oasr` | 315 MB | 1.36 GB | 0.09× | 0.09× | 0.0% |
+| q8_0 | `xasr-zh-en-q8_0.oasr` | 176 MB | 1.36 GB | 0.09× | 0.09× | 0.0% |
+| q4_k | `xasr-zh-en-q4_k.oasr` | 112 MB | 1.36 GB | 0.09× | 0.10× | 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.
+**q8_0** is the recommended default — near-reference quality at a fraction of the
+footprint.</sub>
+
+## 🧠 About X-ASR zh-en
+
+X-ASR-zh-en is a compact **bilingual (Chinese + English)** streaming speech-recognition model from
+**GilgameshWind**, built with the **icefall / k2** recipe as a cache-aware **Zipformer2 RNN-T
+transducer** (a 6-stack, 19-layer Zipformer2 encoder, a stateless RNN-T decoder, and a tanh joiner
+over a 5000-token BPE vocabulary, ~0.16B parameters). The same checkpoint serves both low-latency
+**streaming** captions and full-file **offline** transcription, making it a good fit for on-device
+Chinese/English dictation and real-time subtitles. This OpenASR repo repackages the weights as
+`.oasr` packs that run natively in the OpenASR runtime — no Python at inference time, all decoding
+local. The **q8_0** build is the recommended default (it matched the fp16 transcript bit-for-bit in
+OpenASR's verification); **q4_k** is the smallest build for tight-memory devices and **fp16** is for
+maximum fidelity or verification.
+
+## ⚙️ How these packs were made
+
+Converted from [GilgameshWind/X-ASR-zh-en](https://huggingface.co/GilgameshWind/X-ASR-zh-en) with the OpenASR importer:
+
+```bash
+openasr model-pack import-xasr-zipformer-local <src> <out>.oasr \
+  --package-id xasr-zh-en --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: Apache-2.0**
+([source](https://huggingface.co/GilgameshWind/X-ASR-zh-en/blob/main/README.md)). OpenASR packaging retains the upstream copyright and
+NOTICE; the only modifications are format conversion and quantization.
+
+## 🙏 Acknowledgements
+
+This pack is a redistribution of **X-ASR-zh-en**, created and open-sourced by **GilgameshWind**
+([GilgameshWind/X-ASR-zh-en](https://huggingface.co/GilgameshWind/X-ASR-zh-en)). All credit for the
+original architecture, training, and weights belongs to the author; the license is inherited from and
+identical to the upstream model (Apache-2.0). The model is built on the **icefall** /
+**k2 / Next-gen Kaldi** Zipformer2 transducer recipe — thank you to the icefall team and to
+GilgameshWind 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** — [GilgameshWind/X-ASR-zh-en](https://huggingface.co/GilgameshWind/X-ASR-zh-en)

xasr-zh-en-fp16.oasr

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xasr-zh-en-q4_k.oasr

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xasr-zh-en-q8_0.oasr

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