docs: surface llama.cpp runtime v0.2.0

Signed-off-by: LauraGPT <18321252+LauraGPT@users.noreply.github.com>

Author: LauraGPT

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)

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)
 

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)