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v1.3.30

moeru-ai/airiv1.3.30Jul 27, 2026by github-actions[bot]

AI Summary

This release introduces the FunASR deployment product hub and improves site navigation, security, and MCP discovery. It includes fixes for VAD segment limits, server origins, and updates to the runtime downloads.

Key Highlights

  • Launches the FunASR deployment product hub.
  • Improves MCP discovery and releases version 0.1.2.
  • Limits vLLM VAD segments to 30 seconds to prevent issues.
  • Adds MCP Toplist rank badge and attributes repository conversions.

New Features

  • FunASR deployment product hub.
  • MCP Toplist rank badge.
  • Attribute repository conversions.
  • Runtime downloads for llama.cpp across multiple platforms.

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 -->