From 82509f218a7e6576c4053afcaf961d5eb5454e37 Mon Sep 17 00:00:00 2001 From: LauraGPT <18321252+LauraGPT@users.noreply.github.com> Date: Tue, 11 Aug 2026 06:14:13 +0000 Subject: [PATCH] docs: surface llama.cpp runtime v0.2.0 Signed-off-by: LauraGPT <18321252+LauraGPT@users.noreply.github.com> --- README.md | 3 +- README_ja.md | 5 ++- README_ko.md | 5 ++- README_zh.md | 3 +- .../tests/test_download_funasr_model.sh | 4 +- tests/test_docs_funasr_install_commands.py | 38 +++++++++++++------ 6 files changed, 39 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index b26265fa3..04e530ac4 100644 --- a/README.md +++ b/README.md @@ -300,7 +300,7 @@ GPUs report compute capability 12.0 (`sm_120`) and should use the CPU package or build from source with `-DCMAKE_CUDA_ARCHITECTURES=120` until a dedicated CUDA asset is published. -**Prebuilt binaries:** [Releases](https://github.com/modelscope/FunASR/releases) · [v0.1.9](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.9) · [Linux Vulkan tarball](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.1.9/funasr-llamacpp-linux-x64-vulkan.tar.gz) · [Windows Vulkan zip](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.1.9/funasr-llamacpp-windows-x64-vulkan.zip) · [Windows CUDA zip](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.1.9/funasr-llamacpp-windows-x64-cuda.zip) · **Download & quickstart:** [funasr.com/llama-cpp](https://www.funasr.com/llama-cpp.html) · **GGUF models:** [Hugging Face](https://huggingface.co/FunAudioLLM) · **Docs & benchmarks:** [runtime/llama.cpp/](./runtime/llama.cpp/) +**Prebuilt binaries:** [Releases](https://github.com/modelscope/FunASR/releases) · [v0.2.0](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.0) · [Linux Vulkan tarball](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-linux-x64-vulkan.tar.gz) · [Windows Vulkan zip](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-windows-x64-vulkan.zip) · [Windows CUDA zip](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-windows-x64-cuda.zip) · **Download & quickstart:** [funasr.com/deploy/llama-cpp](https://www.funasr.com/en/deploy/llama-cpp.html) · **GGUF models:** [Hugging Face](https://huggingface.co/FunAudioLLM) · **Docs & benchmarks:** [runtime/llama.cpp/](./runtime/llama.cpp/) [OpenAI API example →](./examples/openai_api/) · [Gradio demo →](./examples/openai_api/GRADIO.md) · [Client recipes →](./examples/openai_api/CLIENTS.md) · [JavaScript/TypeScript recipes →](./examples/openai_api/JAVASCRIPT.md) · [Kubernetes template →](./examples/openai_api/kubernetes/) · [Workflow recipes →](./examples/openai_api/WORKFLOWS.md) · [Postman collection →](./examples/openai_api/POSTMAN.md) · [OpenAPI spec →](./examples/openai_api/OPENAPI.md) · [Security guide →](./examples/openai_api/SECURITY.md) · [Deployment matrix →](./docs/deployment_matrix.md) · [Deployment docs →](./runtime/readme.md) · [Agent integration →](https://modelscope.github.io/FunASR/agent.html) @@ -324,6 +324,7 @@ asset is published. ## What's new +- 2026/08/11: **llama.cpp runtime v0.2.0** — pins upstream llama.cpp at `803b7fca` and publishes nine SHA-256-listed Linux, macOS, and Windows archives from one tested workflow. Fun-ASR-Nano, SenseVoice, and Paraformer CLIs can now write SRT subtitles; Vulkan startup reports actionable AMD diagnostics and a CPU fallback. The AMD Windows Vulkan crash fix still awaits confirmation on the reporter's hardware. [Download matrix & quickstart ->](https://www.funasr.com/en/deploy/llama-cpp.html) · [Release ->](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.0) - 2026/08/04: **v1.4.1 on PyPI** — the Hugging Face `paraformer-en` alias now resolves to the official English checkpoint instead of silently downloading the Chinese model. This patch also includes Fun-ASR-Nano LoRA fine-tuning and safer checkpoint handling; the tagged source adds JSONL timestamp output, SenseVoice TensorRT deployment, and the OpenClaw realtime transcription integration. Install with `python -m pip install -U "funasr==1.4.1"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.1) - 2026/08/04: **OpenClaw realtime transcription integration** — the new [`openclaw-funasr`](integrations/openclaw/) source package connects self-hosted FunASR `online`, `offline`, and `2pass` WebSocket recognition to OpenClaw Talk and Voice Call. Its 8 kHz G.711 mu-law conversion, 60 ms framing, partial/final transcripts, reconnect limits, package installation, and runtime registration have been verified against OpenClaw `2026.7.2`; npm and ClawHub publication will follow the required [upstream SDK change](https://github.com/openclaw/openclaw/pull/118977). - 2026/07/31: **v1.4.0 on PyPI** — `AutoModel` now rejects the common `vda_model` misspelling before model download and points to `vad_model`, so VAD-dependent segmentation, speaker processing, and `sentence_info` are not silently disabled. The GitHub source release also updates the legacy WebSocket file runtime: clients wait for an explicit end-of-input acknowledgement while the server flushes pending offline, online, and 2pass audio and reports finalization failures. Install the Python package with `python -m pip install -U "funasr==1.4.0"`. [Release ->](https://github.com/modelscope/FunASR/releases/tag/v1.4.0) diff --git a/README_ja.md b/README_ja.md index 35e357bd1..b84458439 100644 --- a/README_ja.md +++ b/README_ja.md @@ -99,6 +99,7 @@ Whisper は単一モデルですが、**FunASR はツールキット**です— ## 最新情報 +- 2026/08/11：**llama.cpp runtime v0.2.0** — upstream llama.cpp を `803b7fca` に固定し、同一のテスト済み workflow から SHA-256 付きの Linux、macOS、Windows 向け 9 archive を公開しました。Fun-ASR-Nano、SenseVoice、Paraformer CLI は SRT 字幕を出力でき、Vulkan 起動時には AMD 向け診断と CPU fallback を案内します。AMD Windows Vulkan crash の修正は、報告者の実機確認待ちです。[ダウンロード一覧と quickstart →](https://www.funasr.com/en/deploy/llama-cpp.html) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.0) - 2026/08/04：**v1.4.1 を PyPI に公開** — Hugging Face の `paraformer-en` エイリアスが、誤って中国語モデルをダウンロードせず、公式の英語 checkpoint を解決するようになりました。このパッチには Fun-ASR-Nano の LoRA 微調整と、より安全な checkpoint 処理も含まれます。対応する GitHub ソース tag には JSONL タイムスタンプ出力、SenseVoice TensorRT デプロイ、OpenClaw リアルタイム文字起こし連携も含まれます。インストール：`python -m pip install -U "funasr==1.4.1"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.4.1) - 2026/07/31：**v1.4.0 を PyPI に公開** — `AutoModel` はモデルのダウンロード前に、よくある `vda_model` のスペルミスを拒否し、正しい `vad_model` を案内します。これにより、VAD に依存する分割、話者処理、`sentence_info` が気付かないまま無効になることを防ぎます。GitHub のソースリリースでは legacy WebSocket ファイルランタイムも更新され、クライアントは明示的な入力終了応答を待ち、サーバーは保留中の offline、online、2pass 音声を処理してから完了またはエラーを返します。Python パッケージのインストール：`python -m pip install -U "funasr==1.4.0"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.4.0) - 2026/07/27：**v1.3.30 を PyPI に公開** — WAV、MP3、FLAC、OGG、MP4/M4A、WebM などのコンテナ形式の音声バイト列を raw PCM と誤認せず、対応するコーデックでデコードするようになりました。OpenAI 互換レスポンスは話者ラベルを保持し、句読点が一致しない場合も VAD 区間時刻を保持します。信頼済みブラウザクライアント向け CORS と、vLLM の 30 秒 VAD 上限にも対応しました。GitHub Release には、デスクトップ／サーバー向け 9 ターゲットの最新 llama.cpp ビルドも同梱しています。インストール：`python -m pip install -U "funasr==1.3.30"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.30) @@ -107,7 +108,7 @@ Whisper は単一モデルですが、**FunASR はツールキット**です— - 2026/07/24：**v1.3.27 が PyPI に公開** — OpenAI 互換サーバーが `verbose_json` で SenseVoice の検出言語を返し、vLLM fallback 後はキャッシュ済み Fun-ASR-Nano `AutoModel` を再利用します。vLLM/VAD 初期化と fallback の両方が失敗した場合は、半初期化状態を残さず、後続リクエストで再試行できます。インストール：`python -m pip install -U "funasr==1.3.27"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.27) - 2026/07/23：**v1.3.26 が PyPI に公開** — `funasr-server --model fun-asr-nano --hub ms` は ModelScope hub 指定を vLLM 経路と AutoModel fallback の両方で尊重します。インストール：`python -m pip install -U "funasr==1.3.26"`。[Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.26) - 2026/07/23：**llama.cpp runtime v0.1.9** — Windows Vulkan 向け `funasr-llamacpp-windows-x64-vulkan.zip` を追加。現在の AMD、Intel、NVIDIA Vulkan ドライバーで SenseVoiceSmall を単独実行できます。Linux Vulkan、Windows CUDA、CPU/AVX2、Linux arm64、macOS arm64 も引き続き提供します。[Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.9) -- 2026/07/22：**llama.cpp runtime v0.1.8** — Linux Vulkan tarball と Windows CUDA zip を含む CPU/エッジ向け GGUF ランタイム。ダウンロードと手順：[funasr.com/llama-cpp](https://www.funasr.com/llama-cpp.html) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.8) +- 2026/07/22：**llama.cpp runtime v0.1.8** — Linux Vulkan tarball と Windows CUDA zip を含む CPU/エッジ向け GGUF ランタイム。現在のダウンロードと手順：[funasr.com/deploy/llama-cpp](https://www.funasr.com/en/deploy/llama-cpp.html) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.8) - 2026/05/24：**v1.3.3** — `funasr-server` CLI、OpenAI互換API、MCPサーバー。`pip install --upgrade funasr` - 2026/05/20：Qwen3-ASR (0.6B/1.7B) 追加 — 52言語対応。 - 2026/05/20：GLM-ASR-Nano (1.5B) 追加 — 17言語、方言対応。 @@ -153,7 +154,7 @@ funasr-server --device cuda docker pull registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12 ``` -CPU/エッジで Python なしのオフライン ASR が必要な場合は、llama.cpp / GGUF ランタイムを使えます：[funasr.com/llama-cpp](https://www.funasr.com/llama-cpp.html) · [Fun-ASR-Nano-GGUF](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-GGUF) · [SenseVoiceSmall-GGUF](https://huggingface.co/FunAudioLLM/SenseVoiceSmall-GGUF)。 +CPU/エッジで Python なしのオフライン ASR が必要な場合は、llama.cpp / GGUF ランタイムを使えます：[funasr.com/deploy/llama-cpp](https://www.funasr.com/en/deploy/llama-cpp.html) · [Fun-ASR-Nano-GGUF](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-GGUF) · [SenseVoiceSmall-GGUF](https://huggingface.co/FunAudioLLM/SenseVoiceSmall-GGUF)。 [Colab quickstart →](./examples/colab/README_ja.md) · [OpenAI API example →](./examples/openai_api/README_ja.md) · [Client recipes →](./examples/openai_api/CLIENTS.md) · [Workflow recipes →](./examples/openai_api/WORKFLOWS.md) · [Postman collection →](./examples/openai_api/POSTMAN.md) · [OpenAPI spec →](./examples/openai_api/OPENAPI.md) · [Security guide →](./examples/openai_api/SECURITY.md) · [Deployment matrix →](./docs/deployment_matrix_ja.md) · [デプロイドキュメント →](./runtime/readme.md) · [Agent連携 →](https://modelscope.github.io/FunASR/agent.html) diff --git a/README_ko.md b/README_ko.md index b9ea5443a..20e11bd4d 100644 --- a/README_ko.md +++ b/README_ko.md @@ -99,6 +99,7 @@ Whisper는 단일 모델이지만, **FunASR는 툴킷**입니다. 용도에 맞 ## 최신 소식 +- 2026/08/11: **llama.cpp runtime v0.2.0** — upstream llama.cpp를 `803b7fca`로 고정하고, 하나의 검증된 workflow에서 SHA-256 값이 제공되는 Linux, macOS, Windows용 archive 9개를 공개했습니다. Fun-ASR-Nano, SenseVoice 및 Paraformer CLI는 SRT 자막을 출력할 수 있으며, Vulkan 시작 시 AMD 진단 정보와 CPU fallback을 안내합니다. AMD Windows Vulkan crash 수정은 제보자의 실제 하드웨어 확인을 기다리고 있습니다. [다운로드 목록 및 quickstart →](https://www.funasr.com/en/deploy/llama-cpp.html) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.0) - 2026/08/04: **v1.4.1 PyPI 공개** — Hugging Face의 `paraformer-en` 별칭이 중국어 모델을 잘못 내려받지 않고 공식 영어 checkpoint를 가리키도록 수정했습니다. 이 패치에는 Fun-ASR-Nano LoRA 미세 조정과 더 안전한 checkpoint 처리도 포함됩니다. 해당 GitHub 소스 tag에는 JSONL 타임스탬프 출력, SenseVoice TensorRT 배포, OpenClaw 실시간 전사 연동도 포함됩니다. 설치: `python -m pip install -U "funasr==1.4.1"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.4.1) - 2026/07/31: **v1.4.0 PyPI 공개** — `AutoModel`은 모델 다운로드 전에 흔한 `vda_model` 오타를 거부하고 올바른 `vad_model` 인수를 안내합니다. 따라서 VAD 기반 분할, 화자 처리 및 `sentence_info`가 조용히 비활성화되지 않습니다. GitHub 소스 릴리스에서는 legacy WebSocket 파일 런타임도 개선되어, 클라이언트가 명시적인 입력 종료 응답을 기다리고 서버가 대기 중인 offline, online 및 2pass 오디오를 처리한 뒤 완료 또는 오류를 반환합니다. Python 패키지 설치: `python -m pip install -U "funasr==1.4.0"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.4.0) - 2026/07/27: **v1.3.30 PyPI 공개** — WAV, MP3, FLAC, OGG, MP4/M4A, WebM 컨테이너 형식의 오디오 바이트를 raw PCM으로 잘못 해석하지 않고 해당 코덱으로 디코딩합니다. OpenAI 호환 응답은 화자 라벨을 보존하고, 구두점이 일치하지 않아도 VAD 문장 시간을 유지합니다. 신뢰할 수 있는 브라우저 클라이언트용 CORS와 vLLM의 30초 VAD 구간 제한도 지원합니다. GitHub Release에는 데스크톱 및 서버용 9개 대상의 최신 llama.cpp 빌드도 함께 제공합니다. 설치: `python -m pip install -U "funasr==1.3.30"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.30) @@ -107,7 +108,7 @@ Whisper는 단일 모델이지만, **FunASR는 툴킷**입니다. 용도에 맞 - 2026/07/24: **v1.3.27 PyPI 공개** — OpenAI 호환 서버가 `verbose_json`에 SenseVoice 감지 언어를 반환하고, vLLM fallback 후에는 캐시된 Fun-ASR-Nano `AutoModel`을 재사용합니다. vLLM/VAD 초기화와 fallback이 모두 실패하면 반쯤 초기화된 상태를 남기지 않아 이후 요청에서 다시 시도할 수 있습니다. 설치: `python -m pip install -U "funasr==1.3.27"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.27) - 2026/07/23: **v1.3.26 PyPI 공개** — `funasr-server --model fun-asr-nano --hub ms`가 vLLM 경로와 AutoModel fallback 모두에서 ModelScope hub 선택을 존중합니다. 설치: `python -m pip install -U "funasr==1.3.26"`. [Release →](https://github.com/modelscope/FunASR/releases/tag/v1.3.26) - 2026/07/23: **llama.cpp runtime v0.1.9** — Windows Vulkan용 `funasr-llamacpp-windows-x64-vulkan.zip`을 추가했습니다. 최신 AMD, Intel 또는 NVIDIA Vulkan 드라이버에서 SenseVoiceSmall을 독립 실행할 수 있습니다. Linux Vulkan, Windows CUDA, CPU/AVX2, Linux arm64, macOS arm64 패키지도 계속 제공합니다. [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.9) -- 2026/07/22: **llama.cpp runtime v0.1.8** — Linux Vulkan tarball과 Windows CUDA zip을 포함한 CPU/엣지용 GGUF 런타임입니다. 다운로드와 빠른 시작: [funasr.com/llama-cpp](https://www.funasr.com/llama-cpp.html) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.8) +- 2026/07/22: **llama.cpp runtime v0.1.8** — Linux Vulkan tarball과 Windows CUDA zip을 포함한 CPU/엣지용 GGUF 런타임입니다. 현재 다운로드와 빠른 시작: [funasr.com/deploy/llama-cpp](https://www.funasr.com/en/deploy/llama-cpp.html) · [Release →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.8) - 2026/05/24: **v1.3.3** — `funasr-server` CLI, OpenAI 호환 API, MCP 서버. `pip install --upgrade funasr` - 2026/05/20: Qwen3-ASR (0.6B/1.7B) 추가 — 52개 언어 지원. - 2026/05/20: GLM-ASR-Nano (1.5B) 추가 — 17개 언어, 방언 지원. @@ -153,7 +154,7 @@ funasr-server --device cuda docker pull registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12 ``` -CPU/엣지에서 Python 없이 오프라인 ASR만 필요하다면 llama.cpp / GGUF 런타임을 사용할 수 있습니다: [funasr.com/llama-cpp](https://www.funasr.com/llama-cpp.html) · [Fun-ASR-Nano-GGUF](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-GGUF) · [SenseVoiceSmall-GGUF](https://huggingface.co/FunAudioLLM/SenseVoiceSmall-GGUF). +CPU/엣지에서 Python 없이 오프라인 ASR만 필요하다면 llama.cpp / GGUF 런타임을 사용할 수 있습니다: [funasr.com/deploy/llama-cpp](https://www.funasr.com/en/deploy/llama-cpp.html) · [Fun-ASR-Nano-GGUF](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-GGUF) · [SenseVoiceSmall-GGUF](https://huggingface.co/FunAudioLLM/SenseVoiceSmall-GGUF). [Colab quickstart →](./examples/colab/README_ko.md) · [OpenAI API example →](./examples/openai_api/README_ko.md) · [Client recipes →](./examples/openai_api/CLIENTS.md) · [Workflow recipes →](./examples/openai_api/WORKFLOWS.md) · [Postman collection →](./examples/openai_api/POSTMAN.md) · [OpenAPI spec →](./examples/openai_api/OPENAPI.md) · [Security guide →](./examples/openai_api/SECURITY.md) · [Deployment matrix →](./docs/deployment_matrix_ko.md) · [배포 문서 →](./runtime/readme.md) · [Agent 연동 →](https://modelscope.github.io/FunASR/agent.html) diff --git a/README_zh.md b/README_zh.md index d35ff063e..280cc861a 100644 --- a/README_zh.md +++ b/README_zh.md @@ -149,6 +149,7 @@ Whisper 是单个模型，**FunASR 是一个工具箱**——按场景挑模型 ## 最新动态 +- 2026/08/11：**llama.cpp runtime v0.2.0** — 统一固定上游 llama.cpp 到 `803b7fca`，通过同一套测试工作流发布 9 个带 SHA-256 校验值的 Linux、macOS 与 Windows 压缩包。Fun-ASR-Nano、SenseVoice 和 Paraformer CLI 现在可直接输出 SRT 字幕；Vulkan 启动会给出可操作的 AMD 诊断信息和 CPU fallback。AMD Windows Vulkan 崩溃修复仍等待 issue 报告者在原硬件上确认。[下载矩阵与快速开始 →](https://www.funasr.com/deploy/llama-cpp.html) · [发布页 →](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.0) - 2026/08/04：**v1.4.1 已发布到 PyPI** — Hugging Face 的 `paraformer-en` 别名现在会解析到官方英文 checkpoint，不再静默下载中文模型。本补丁还包含 Fun-ASR-Nano LoRA 微调与更安全的 checkpoint 处理；对应 GitHub 源码 tag 同时提供 JSONL 时间戳输出、SenseVoice TensorRT 部署和 OpenClaw 实时转写集成。安装命令：`python -m pip install -U "funasr==1.4.1"`。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.4.1) - 2026/08/04：**OpenClaw 实时转写集成** — 新增 [`openclaw-funasr`](integrations/openclaw/) 源码包，把私有部署的 FunASR `online`、`offline` 与 `2pass` WebSocket 识别接入 OpenClaw Talk 和 Voice Call。8 kHz G.711 mu-law 转换、60 ms 分帧、partial/final 文本、重连上限、安装包与运行时注册均已基于 OpenClaw `2026.7.2` 验证；npm 与 ClawHub 发布将在所需的[上游 SDK 改动](https://github.com/openclaw/openclaw/pull/118977)合入后进行。 - 2026/07/31：**v1.4.0 已发布到 PyPI** — `AutoModel` 现在会在下载模型前拒绝常见的 `vda_model` 误拼写并明确提示使用 `vad_model`，避免依赖 VAD 的分段、说话人处理和 `sentence_info` 被静默关闭。GitHub 源码发布同时更新 legacy WebSocket 文件运行时：客户端会等待明确的输入结束确认，服务端先刷新待处理的 offline、online 与 2pass 音频，并把收尾失败返回给客户端。Python 包安装命令：`python -m pip install -U "funasr==1.4.0"`。[发布页 →](https://github.com/modelscope/FunASR/releases/tag/v1.4.0) @@ -348,7 +349,7 @@ Windows Vulkan ZIP 使用显卡驱动提供的系统 Vulkan loader，不需要 compute capability 12.0（`sm_120`），在专用 CUDA 产物发布前，请使用 CPU 包，或从 源码构建并设置 `-DCMAKE_CUDA_ARCHITECTURES=120`。 -**预编译二进制：** [Releases](https://github.com/modelscope/FunASR/releases) · [v0.1.9](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.9) · [Linux Vulkan tarball](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.1.9/funasr-llamacpp-linux-x64-vulkan.tar.gz) · [Windows Vulkan zip](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.1.9/funasr-llamacpp-windows-x64-vulkan.zip) · [Windows CUDA zip](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.1.9/funasr-llamacpp-windows-x64-cuda.zip) · **下载与快速开始：** [funasr.com/llama-cpp](https://www.funasr.com/llama-cpp.html) · **GGUF 模型：** [Hugging Face](https://huggingface.co/FunAudioLLM) · **文档与评测：** [runtime/llama.cpp/](./runtime/llama.cpp/) +**预编译二进制：** [Releases](https://github.com/modelscope/FunASR/releases) · [v0.2.0](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.0) · [Linux Vulkan tarball](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-linux-x64-vulkan.tar.gz) · [Windows Vulkan zip](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-windows-x64-vulkan.zip) · [Windows CUDA zip](https://github.com/modelscope/FunASR/releases/download/runtime-llamacpp-v0.2.0/funasr-llamacpp-windows-x64-cuda.zip) · **下载与快速开始：** [funasr.com/deploy/llama-cpp](https://www.funasr.com/deploy/llama-cpp.html) · **GGUF 模型：** [Hugging Face](https://huggingface.co/FunAudioLLM) · **文档与评测：** [runtime/llama.cpp/](./runtime/llama.cpp/) [OpenAI API 示例 →](./examples/openai_api/README_zh.md) · [Gradio Demo →](./examples/openai_api/GRADIO_zh.md) · [客户端配方 →](./examples/openai_api/CLIENTS.md) · [JavaScript/TypeScript 配方 →](./examples/openai_api/JAVASCRIPT_zh.md) · [Kubernetes 模板 →](./examples/openai_api/kubernetes/README_zh.md) · [工作流配方 →](./examples/openai_api/WORKFLOWS_zh.md) · [Postman 集合 →](./examples/openai_api/POSTMAN_zh.md) · [OpenAPI 规范 →](./examples/openai_api/OPENAPI_zh.md) · [安全指南 →](./examples/openai_api/SECURITY_zh.md) · [部署选型 →](./docs/deployment_matrix_zh.md) · [部署文档 →](./runtime/readme_cn.md) · [Agent 集成 →](https://modelscope.github.io/FunASR/agent.html) diff --git a/runtime/llama.cpp/tests/test_download_funasr_model.sh b/runtime/llama.cpp/tests/test_download_funasr_model.sh index aff555599..0afd064ce 100755 --- a/runtime/llama.cpp/tests/test_download_funasr_model.sh +++ b/runtime/llama.cpp/tests/test_download_funasr_model.sh @@ -170,8 +170,8 @@ assert_readme_quickstart() { printf 'non-portable Releases link in %s\n' "$readme" >&2 exit 1 fi - if ! grep -F 'runtime-llamacpp-v0.1.9' <<<"$section" >/dev/null; then - printf 'missing current runtime v0.1.9 link in %s\n' "$readme" >&2 + if ! grep -F 'runtime-llamacpp-v0.2.0' <<<"$section" >/dev/null; then + printf 'missing current runtime v0.2.0 link in %s\n' "$readme" >&2 exit 1 fi if ! grep -F 'funasr-llamacpp-linux-x64-vulkan' <<<"$section" >/dev/null; then diff --git a/tests/test_docs_funasr_install_commands.py b/tests/test_docs_funasr_install_commands.py index 32b66853e..0a8f2c0f4 100644 --- a/tests/test_docs_funasr_install_commands.py +++ b/tests/test_docs_funasr_install_commands.py @@ -334,17 +334,33 @@ def test_readme_model_tables_surface_public_gguf_entries(): assert "https://huggingface.co/FunAudioLLM/Fun-ASR-MLT-Nano-GGUF" not in text -def test_localized_readmes_surface_current_release_and_edge_runtime(): - readmes = [ - (ROOT / "README_ja.md").read_text(), - (ROOT / "README_ko.md").read_text(), - ] - - for text in readmes: - assert 'python -m pip install -U "funasr==1.3.26"' in text - assert "https://github.com/modelscope/FunASR/releases/tag/v1.3.26" in text - assert "https://www.funasr.com/llama-cpp.html" in text - assert "runtime-llamacpp-v0.1.9" in text +def test_top_level_readmes_surface_current_release_and_edge_runtime(): + readmes = { + name: (ROOT / name).read_text() + for name in ("README.md", "README_zh.md", "README_ja.md", "README_ko.md") + } + + for name, text in readmes.items(): + assert 'python -m pip install -U "funasr==1.4.1"' in text, name + assert "https://github.com/modelscope/FunASR/releases/tag/v1.4.1" in text, name + assert "runtime-llamacpp-v0.2.0" in text, name + + assert "https://www.funasr.com/en/deploy/llama-cpp.html" in readmes["README.md"] + assert "https://www.funasr.com/deploy/llama-cpp.html" in readmes["README_zh.md"] + for name in ("README_ja.md", "README_ko.md"): + assert "https://www.funasr.com/en/deploy/llama-cpp.html" in readmes[name] + + for name in ("README.md", "README_zh.md"): + text = readmes[name] + for asset in ( + "funasr-llamacpp-linux-x64-vulkan.tar.gz", + "funasr-llamacpp-windows-x64-vulkan.zip", + "funasr-llamacpp-windows-x64-cuda.zip", + ): + assert ( + f"releases/download/runtime-llamacpp-v0.2.0/{asset}" in text + ), name + assert "releases/download/runtime-llamacpp-v0.1.9/" not in text, name def test_realtime_demo_documents_partial_and_hotword_boundaries():