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FunASR 1.4.16

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@github-actions github-actions released this 18 Sep 05:42
· 4 commits to main since this release
v1.4.16
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Learn about vigilant mode.
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Learn about vigilant mode.

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

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. For a regression, retain the last working environment and report the exact artifact, model revision, platform, and reproduction.

Full source changes

Runtime downloads

This Python release pairs with the current prebuilt llama.cpp / GGUF runtime release: 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 7bca29cfa3c9a08e235a62212ca9e00f6656e59a8f07078966a2bfda1e5aa1f9
Linux x64 AVX2 funasr-llamacpp-linux-x64-avx2.tar.gz aaebc5470f846ce915200b35d6e9f9bd0a0d3ed399d39e49bdeb7a1f1782bc70
Linux x64 Vulkan funasr-llamacpp-linux-x64-vulkan.tar.gz f02d41e98e9d4041f0896661007193810f025484d2175958f7c1313d5c90ec46
Linux x64 portable funasr-llamacpp-linux-x64.tar.gz 779967de1c528c2be966bcc47f246e7d3e6fcdb748d9491263062f4120f35e52
macOS arm64 funasr-llamacpp-macos-arm64.tar.gz bda59474202b887190f59d25b7b42c714469efae71276072c12fa0a38de68792
Windows x64 AVX2 funasr-llamacpp-windows-x64-avx2.zip 062cda8fefadd31c3e811227116daccf448a8520f4b0bb168d225c896e65ebbd
Windows x64 CUDA funasr-llamacpp-windows-x64-cuda.zip 148657911fb666b7af6ec43af2e23a0984e3259012b4c39f95631b717feb6840
Windows x64 Vulkan funasr-llamacpp-windows-x64-vulkan.zip debf8007e55011cad06081e7b8a78972f1b8fe672bc324d41e650d68821f6a6a
Windows x64 portable funasr-llamacpp-windows-x64.zip f6a73a548413ba9fbaf2145263ea66ec53cbdad1fb11790dbeeee493e339492e

For Python users, install from PyPI:

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

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.

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