v1.4.16

# FunASR 1.4.16

## Highlights

- **Reliable mixed-device pipelines:** explicit `vad_kwargs`, `punc_kwargs`, and `spk_kwargs` device placement is preserved across repeated inference calls. Runtime `device` overrides no longer mutate the placement of already-loaded models, caller-owned submodel configuration stays unchanged, and speaker inference uses the speaker model's own configuration.
- **Clearer punctuation behavior:** documentation now explains when SenseVoiceSmall or Paraformer output needs the CT-Transformer punctuation postprocessor instead of assuming every model emits punctuation natively.
- **Native Transformers adoption guides:** new tested English and Chinese guides connect model discovery, version requirements, CUDA installation, local downloads, and bounded acceptance checks.

## Install

```bash
python -m pip install -U "funasr==1.4.16"
```

Install a PyTorch/TorchAudio build appropriate for your hardware and the selected model's optional dependencies.

## Verification boundaries

- Mixed-device regressions were exercised with CPU-resident stand-in weights and mocked accelerator availability. They verify configuration propagation, fallback, repeated calls, and model/config consistency; they are not a CUDA, MPS, or NPU performance certification.
- Native Transformers guidance is versioned source documentation. Follow each model's documented revision and hardware requirements; it does not claim that every model/backend combination is interchangeable.
- Native downloads retain their independently versioned `runtime-llamacpp-v0.2.6` source commit `a57c05bfe2a91b5e0cb0983479634eba3e28ede5`. They are unchanged native binaries, not builds from the Python 1.4.16 commit and not carriers of Python-only fixes. The separate Blackwell archive remains on the runtime release and is not attached here.

Previous Python release: [1.4.15](https://github.com/modelscope/FunASR/releases/tag/v1.4.15). For a regression, retain the last working environment and report the exact artifact, model revision, platform, and reproduction.

[Full source changes](https://github.com/modelscope/FunASR/compare/v1.4.15...v1.4.16)

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

This Python release pairs with the current prebuilt llama.cpp / GGUF runtime release: [runtime-llamacpp-v0.2.6](https://github.com/modelscope/FunASR/releases/tag/runtime-llamacpp-v0.2.6).

The same nine verified runtime assets are attached directly to this Python release.

| Platform | Asset | SHA-256 |
|---|---|---|
| Linux arm64 | [funasr-llamacpp-linux-arm64.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-linux-arm64.tar.gz) | `7bca29cfa3c9a08e235a62212ca9e00f6656e59a8f07078966a2bfda1e5aa1f9` |
| Linux x64 AVX2 | [funasr-llamacpp-linux-x64-avx2.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-linux-x64-avx2.tar.gz) | `aaebc5470f846ce915200b35d6e9f9bd0a0d3ed399d39e49bdeb7a1f1782bc70` |
| Linux x64 Vulkan | [funasr-llamacpp-linux-x64-vulkan.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-linux-x64-vulkan.tar.gz) | `f02d41e98e9d4041f0896661007193810f025484d2175958f7c1313d5c90ec46` |
| Linux x64 portable | [funasr-llamacpp-linux-x64.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-linux-x64.tar.gz) | `779967de1c528c2be966bcc47f246e7d3e6fcdb748d9491263062f4120f35e52` |
| macOS arm64 | [funasr-llamacpp-macos-arm64.tar.gz](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-macos-arm64.tar.gz) | `bda59474202b887190f59d25b7b42c714469efae71276072c12fa0a38de68792` |
| Windows x64 AVX2 | [funasr-llamacpp-windows-x64-avx2.zip](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-windows-x64-avx2.zip) | `062cda8fefadd31c3e811227116daccf448a8520f4b0bb168d225c896e65ebbd` |
| Windows x64 CUDA | [funasr-llamacpp-windows-x64-cuda.zip](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-windows-x64-cuda.zip) | `148657911fb666b7af6ec43af2e23a0984e3259012b4c39f95631b717feb6840` |
| Windows x64 Vulkan | [funasr-llamacpp-windows-x64-vulkan.zip](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-windows-x64-vulkan.zip) | `debf8007e55011cad06081e7b8a78972f1b8fe672bc324d41e650d68821f6a6a` |
| Windows x64 portable | [funasr-llamacpp-windows-x64.zip](https://github.com/modelscope/FunASR/releases/download/v1.4.16/funasr-llamacpp-windows-x64.zip) | `f6a73a548413ba9fbaf2145263ea66ec53cbdad1fb11790dbeeee493e339492e` |

For Python users, install from PyPI:

```bash
python -m pip install -U "funasr==1.4.16"
```
<!-- funasr-runtime-downloads:end -->

## Artifact verification

`SHA256SUMS` covers the wheel, sdist, and nine attached native archives. The Python artifacts are:

- `funasr-1.4.16-py3-none-any.whl`: `f95943f6a8111349a1b08907363b048a49e9cb9caa1e3afd8c92970d08bf450d`
- `funasr-1.4.16.tar.gz`: `1e2f8e3887fbc4b164cce40f73bf1324907da6ab59d1e8bf2add827f534c69e7`

PyPI and GitHub Python artifact bytes must match after publication.