publish dolphin-cn-dialect-small 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: DataoceanAI1/dolphi-cn-dialect-small
+pipeline_tag: automatic-speech-recognition
+library_name: openasr
+tags:
+  - automatic-speech-recognition
+  - speech-to-text
+  - openasr
+  - oasr
+  - dolphin
+---
+
+<div align="center">
+
+# Dolphin CN-Dialect Small · OpenASR
+
+**Chinese multi-dialect speech recognition -- a WeNet E-Branchformer (CTC + attention) tuned for Sichuan and 22 regional dialects**
+
+[![License](https://img.shields.io/badge/license-Apache--2.0-2563eb.svg)](https://huggingface.co/DataoceanAI1/dolphi-cn-dialect-small/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-dolphi--cn--dialect--small-f59e0b.svg)](https://huggingface.co/DataoceanAI1/dolphi-cn-dialect-small)
+
+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
+
+- 🀄 **22 Chinese dialects** — a WeNet E-Branchformer tuned for regional Mandarin, with a standout Sichuan (川话) strength across Wu, Cantonese, Minnan, Shanghainese and more
+- 🎯 **Dialect-first accuracy** — a reported ~38% relative gain on dialect recognition and ~16% lower CER versus the base Dolphin, without giving up standard Mandarin
+- 🧩 **Joint CTC + attention** — an E-Branchformer encoder with a Transformer decoder and CTC/attention rescoring that OpenASR runs bit-exact against its golden reference
+- 🐬 **Chinese-focused, char-level** — a compact `small.cn` checkpoint over a character vocabulary, purpose-built for zh audio including heavy accents and code-mixed speech
+- 🦀 **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 dolphin-cn-dialect-small:fp16
+
+# 3. Transcribe
+openasr transcribe audio.wav --model dolphin-cn-dialect-small
+```
+
+All builds for this model:
+
+```bash
+openasr pull dolphin-cn-dialect-small:fp16
+openasr pull dolphin-cn-dialect-small:q8
+openasr pull dolphin-cn-dialect-small:q4
+```
+
+## 📦 Available builds
+
+| Quant | File (`.oasr`) | Size | RAM peak | RTF · M1 CPU | RTF · M1 GPU | ΔCER vs fp16 |
+|:------|:---------------|-----:|---------:|-------------:|-------------:|-----------------:|
+| fp16 | `dolphin-cn-dialect-small-fp16.oasr` | 860 MB | 2.37 GB | 0.32× | 0.26× | 0.0% |
+| q8_0 | `dolphin-cn-dialect-small-q8_0.oasr` | 494 MB | 2.88 GB | 0.24× | 0.12× | 0.0% |
+| q4_k | `dolphin-cn-dialect-small-q4_k.oasr` | 298 MB | 2.65 GB | 0.26× | 0.11× | 4.5% |
+
+<sub>RTF = real-time factor on a 2.38s in-language Sichuan-dialect (川话) clip (**lower is faster**); RAM peak measured per pack
+in an isolated subprocess. ΔCER compares each quantized build's Sichuan-clip transcript to this model's
+fp16 Sichuan-clip 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 Dolphin CN-Dialect Small
+
+Dolphin CN-Dialect Small is a **Chinese multi-dialect** speech-recognition model from
+**DataoceanAI**, built on the **Dolphin / WeNet** recipe as an **E-Branchformer encoder +
+Transformer decoder** trained with a **joint CTC + attention** objective (the `small.cn`
+checkpoint over a character vocabulary). It specializes in regional Mandarin — a standout
+**Sichuan (川话)** capability alongside 22 Chinese dialects such as Wu, Cantonese, Minnan and
+Shanghainese — while keeping strong standard-Mandarin transcription (the card reports a large
+relative gain on dialect recognition and a meaningful CER reduction over the base Dolphin).
+This OpenASR repo repackages the weights as `.oasr` packs that run natively in the OpenASR
+runtime — no Python at inference, all decoding local. OpenASR decodes it with CTC beam search
+plus attention rescoring and verified the transcript bit-exact against a golden reference on a
+Sichuan-dialect clip. It ships in **fp16** (maximum fidelity, recommended), **q8_0**, and **q4_k** builds.
+
+## ⚙️ How these packs were made
+
+Converted from [DataoceanAI1/dolphi-cn-dialect-small](https://huggingface.co/DataoceanAI1/dolphi-cn-dialect-small) with the OpenASR importer:
+
+```bash
+openasr model-pack import dolphin <src> <out>.oasr \
+  --package-id dolphin-cn-dialect-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: Apache-2.0**
+([source](https://huggingface.co/DataoceanAI1/dolphi-cn-dialect-small/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 **Dolphin CN-Dialect Small**, created and open-sourced by
+**DataoceanAI** ([DataoceanAI1/dolphi-cn-dialect-small](https://huggingface.co/DataoceanAI1/dolphi-cn-dialect-small)).
+All credit for the original architecture, training, and weights belongs to the authors; the
+license is inherited from and identical to the upstream model (Apache-2.0). The model builds on
+the **Dolphin** multilingual ASR project and the **WeNet** E-Branchformer / joint CTC-attention
+recipe — thank you to the Dolphin and WeNet teams and to DataoceanAI 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** — [DataoceanAI1/dolphi-cn-dialect-small](https://huggingface.co/DataoceanAI1/dolphi-cn-dialect-small)

dolphin-cn-dialect-small-fp16.oasr

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dolphin-cn-dialect-small-q4_k.oasr

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dolphin-cn-dialect-small-q8_0.oasr

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