diff --git a/README.md b/README.md index 7ca938bd1..847fe0aba 100644 --- a/README.md +++ b/README.md @@ -338,7 +338,7 @@ inference on physical Blackwell hardware. ## What's new - **MOSS-Transcribe-Diarize** brings long-form ASR, timestamps, and anonymous speaker labels to FunASR services, Docker, Kubernetes, vLLM/SGLang workflows, and FunClip. [Deploy MOSS ->](./docs/moss_transcribe_diarize.md) -- **FunASR 1.4.11** is the current PyPI release, with more readable multilingual subtitles and preserved model timestamps. [Install or upgrade ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.11) +- **FunASR 1.4.12** stabilizes Fun-ASR-Nano vLLM decoding when audio compute uses FP16: the Qwen3 decoder uses BF16, while GPUs without BF16 can select FP32. Install with `python -m pip install -U "funasr==1.4.12"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.12) - **Production deployment** now includes faster, more resilient realtime serving and verified llama.cpp archives for ten Linux, macOS, and Windows targets. [GPU services ->](./docs/vllm_guide.md) · [CPU/edge packages ->](https://www.funasr.com/en/deploy/llama-cpp.html) > See [GitHub Releases](https://github.com/modelscope/FunASR/releases) for the complete changelog and downloadable assets. diff --git a/README_ja.md b/README_ja.md index ef80af4ca..6f8d3353b 100644 --- a/README_ja.md +++ b/README_ja.md @@ -100,7 +100,7 @@ Whisper は単一モデルですが、**FunASR はツールキット**です— ## 最新情報 - **MOSS-Transcribe-Diarize** を FunASR service、Docker、Kubernetes、vLLM/SGLang workflow、FunClip に統合し、長時間 ASR、timestamp、匿名 speaker label を一度に処理できます。[MOSS をデプロイ ->](./docs/moss_transcribe_diarize.md) -- **FunASR 1.4.11** は現在の PyPI 安定版で、多言語字幕の可読性を改善しながらモデル本来の timestamp を保持します。[Install / upgrade ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.11) +- **FunASR 1.4.12** は、audio compute が FP16 のときの Fun-ASR-Nano vLLM 出力を安定化します。Qwen3 decoder は BF16 を使い、BF16 非対応 GPU では FP32 を選択できます。`python -m pip install -U "funasr==1.4.12"`。[Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.12) - **Production deployment** に、より高速で安定した realtime serving と、Linux、macOS、Windows の 10 target 向け llama.cpp package を追加しました。[GPU service ->](./docs/vllm_guide.md) · [CPU / edge package ->](https://www.funasr.com/en/deploy/llama-cpp.html) > 完全な変更履歴と download asset は [GitHub Releases](https://github.com/modelscope/FunASR/releases) を参照してください。 diff --git a/README_ko.md b/README_ko.md index 8bd3724e4..dec05c761 100644 --- a/README_ko.md +++ b/README_ko.md @@ -100,7 +100,7 @@ Whisper는 단일 모델이지만, **FunASR는 툴킷**입니다. 용도에 맞 ## 최신 소식 - **MOSS-Transcribe-Diarize**를 FunASR service, Docker, Kubernetes, vLLM/SGLang workflow, FunClip에 통합해 긴 오디오 ASR, timestamp, 익명 speaker label을 한 번에 처리합니다. [MOSS 배포 ->](./docs/moss_transcribe_diarize.md) -- **FunASR 1.4.11**은 현재 PyPI 안정 버전으로, 모델의 실제 timestamp를 유지하면서 다국어 자막 가독성을 개선합니다. [Install / upgrade ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.11) +- **FunASR 1.4.12**는 audio compute가 FP16일 때 Fun-ASR-Nano vLLM 출력을 안정화합니다. Qwen3 decoder는 BF16을 사용하며 BF16 미지원 GPU에서는 FP32를 선택할 수 있습니다. `python -m pip install -U "funasr==1.4.12"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.12) - **Production deployment**에 더 빠르고 안정적인 realtime serving과 Linux, macOS, Windows 10개 target용 llama.cpp package를 추가했습니다. [GPU service ->](./docs/vllm_guide.md) · [CPU / edge package ->](https://www.funasr.com/en/deploy/llama-cpp.html) > 전체 변경 기록과 download asset은 [GitHub Releases](https://github.com/modelscope/FunASR/releases)에서 확인할 수 있습니다. diff --git a/README_zh.md b/README_zh.md index 4e8daf06a..8253d6634 100644 --- a/README_zh.md +++ b/README_zh.md @@ -150,7 +150,7 @@ Whisper 是单个模型，**FunASR 是一个工具箱**——按场景挑模型 ## 最新动态 - **MOSS-Transcribe-Diarize** 已接入 FunASR 服务、Docker、Kubernetes、vLLM/SGLang 工作流和 FunClip，一次完成长音频转写、时间戳与匿名说话人标注。[部署 MOSS ->](./docs/moss_transcribe_diarize_zh.md) -- **FunASR 1.4.11** 是当前 PyPI 稳定版，重点改善多语言可读字幕并保留模型真实时间戳。[安装或升级 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.11) +- **FunASR 1.4.12** 修复 Fun-ASR-Nano 使用 FP16 音频计算时的 vLLM 异常输出：Qwen3 解码器改用 BF16，不支持 BF16 的 GPU 可显式选择 FP32。升级命令：`python -m pip install -U "funasr==1.4.12"`。[发布页 ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.12) - **工业部署** 新增更快、更稳定的实时服务，以及覆盖 Linux、macOS、Windows 十种目标的 llama.cpp 预编译包。[GPU 服务 ->](./docs/vllm_guide_zh.md) · [CPU/端侧包 ->](https://www.funasr.com/deploy/llama-cpp.html) > 完整改动记录和可下载资产请查看 [GitHub Releases](https://github.com/modelscope/FunASR/releases)。 diff --git a/funasr/version.txt b/funasr/version.txt index 079d7f692..f86e02988 100644 --- a/funasr/version.txt +++ b/funasr/version.txt @@ -1 +1 @@ -1.4.11 +1.4.12 diff --git a/tests/test_release_version_contract.py b/tests/test_release_version_contract.py index d18db74a8..4e9c490b5 100644 --- a/tests/test_release_version_contract.py +++ b/tests/test_release_version_contract.py @@ -2,7 +2,7 @@ from pathlib import Path ROOT = Path(__file__).resolve().parents[1] -RELEASE_VERSION = "1.4.11" +RELEASE_VERSION = "1.4.12" README_FILES = ("README.md", "README_zh.md", "README_ja.md", "README_ko.md")