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v1.3.30

niri-wm/niriv1.3.30Jul 27, 2026by github-actions[bot]

AI Summary

FunASR release focuses on deployment product hub launch, MCP integration improvements, and bug fixes for VAD segments and server logic. It includes updated runtime downloads for llama.cpp.

Key Highlights

  • Launch of the FunASR deployment product hub.
  • MCP Toplist rank badge added to the repository.
  • VAD segments are limited to 30 seconds to prevent excessive processing.
  • Container-formatted audio bytes are decoded before inference.

New Features

  • Deployment product hub launch
  • MCP Toplist rank badge
  • Guarding of launch pages and navigation
  • Container audio decoding improvements
  • Runtime downloads for llama.cpp

Full Release Notes

## What's Changed
* ci: guard FunClip v2.1.0 launch pages by @LauraGPT in https://github.com/modelscope/FunASR/pull/3417
* Add MCP Toplist rank badge by @chrstphe in https://github.com/modelscope/FunASR/pull/3418
* fix: limit vLLM VAD segments to 30 seconds by @LauraGPT in https://github.com/modelscope/FunASR/pull/3420
* test: guard donor navigation across public pages by @LauraGPT in https://github.com/modelscope/FunASR/pull/3421
* test: harden donor navigation website contract by @LauraGPT in https://github.com/modelscope/FunASR/pull/3422
* Improve MCP discovery and release 0.1.2 by @LauraGPT in https://github.com/modelscope/FunASR/pull/3423
* feat(site): launch the FunASR deployment product hub by @LauraGPT in https://github.com/modelscope/FunASR/pull/3424
* docs: surface the deployment product hub by @LauraGPT in https://github.com/modelscope/FunASR/pull/3425
* fix(server): allow trusted browser origins by @LauraGPT in https://github.com/modelscope/FunASR/pull/3427
* feat(site): attribute repository conversions by @LauraGPT in https://github.com/modelscope/FunASR/pull/3428
* docs(site): surface Orca SenseVoice desktop integration by @LauraGPT in https://github.com/modelscope/FunASR/pull/3431
* docs: add RTX 4090 Fun-ASR community benchmark by @LauraGPT in https://github.com/modelscope/FunASR/pull/3432
* fix(server): return speaker labels for spk requests by @LauraGPT in https://github.com/modelscope/FunASR/pull/3433
* fix(auto-model): preserve VAD segments on punctuation mismatch by @LauraGPT in https://github.com/modelscope/FunASR/pull/3434
* Decode container-formatted audio bytes before inference by @LauraGPT in https://github.com/modelscope/FunASR/pull/3435
* chore: release FunASR 1.3.30 by @LauraGPT in https://github.com/modelscope/FunASR/pull/3436

## New Contributors
* @chrstphe made their first contribution in https://github.com/modelscope/FunASR/pull/3418

**Full Changelog**: https://github.com/modelscope/FunASR/compare/v1.3.29...v1.3.30

<!-- funasr-runtime-downloads:start -->
## Runtime downloads

This Python release pairs with the current prebuilt llama.cpp / GGUF runtime release: [runtime-llamacpp-v0.1.9](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.1.9).

The same verified runtime assets are attached directly to this Python release so users can find the package and self-contained `llama-funasr-*` binaries in one place.

| Platform | Asset | SHA-256 |
|---|---|---|
| Linux arm64 | [funasr-llamacpp-linux-arm64.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-linux-arm64.tar.gz) | `521866e75594e56eb5023b65eb1ecf6ab7c3b5069522b71cd33aa37b8406ed4b` |
| Linux x64 AVX2 | [funasr-llamacpp-linux-x64-avx2.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-linux-x64-avx2.tar.gz) | `51f33822a5191f7963d8ceedba2dd76fe7d810a4388b931b25b8be4f1a8e320d` |
| Linux x64 Vulkan | [funasr-llamacpp-linux-x64-vulkan.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-linux-x64-vulkan.tar.gz) | `0272856faa30b66831a55dd52c1ea0f2ea04b460251dc84b333d25080afdf6a7` |
| Linux x64 portable | [funasr-llamacpp-linux-x64.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-linux-x64.tar.gz) | `2cd54174a3755f89c11f071dedfb935eff96007617e2e952604d90230ea9eb48` |
| macOS arm64 | [funasr-llamacpp-macos-arm64.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-macos-arm64.tar.gz) | `2d5786784ad09d8f4def1d942f678728638fe601d00acf0dad7cf094a9328363` |
| Windows x64 AVX2 | [funasr-llamacpp-windows-x64-avx2.zip](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-windows-x64-avx2.zip) | `f2a1389658e6fb5f5f93c7bad98b5ce100eb4811e0e3c39603e39466773b1b4c` |
| Windows x64 CUDA | [funasr-llamacpp-windows-x64-cuda.zip](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-windows-x64-cuda.zip) | `3809fb22ec977b29d86c1ca1d132a16a90019949d7ad2a0262292a5732bf596a` |
| Windows x64 Vulkan | [funasr-llamacpp-windows-x64-vulkan.zip](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-windows-x64-vulkan.zip) | `fe2988376f911ad88d268edfa95957359015187aa6068076fd9efb2f3cd5d8ce` |
| Windows x64 portable | [funasr-llamacpp-windows-x64.zip](https://github.com/modelscope/FunASR/releases/download/v1.3.30/funasr-llamacpp-windows-x64.zip) | `6767af74e42c8b928742e12d5995c139636d9482ea151cdbb51f1b7573667772` |

Quick start: download one asset, unpack it, then run the bundled `download-funasr-model.sh <sensevoice|paraformer|nano>` helper and one of `llama-funasr-cli`, `llama-funasr-sensevoice`, or `llama-funasr-paraformer`.

For Python users, install from PyPI:

```bash
python -m pip install -U "funasr==1.3.30"
```
<!-- funasr-runtime-downloads:end -->