v1.4.25

Final Publication Acceptance

GitHub Release and PyPI 1.4.25 are published. Both official PyPI distributions were downloaded and match GitHub by SHA-256 and size:

• funasr-1.4.25-py3-none-any.whl: 1015440 bytes; SHA-256 11ab7bd8c7574a94579b83a9f8fe837af46be6229462da5f3004a04a017cee75.
• funasr-1.4.25.tar.gz: 1083745 bytes; SHA-256 1ff96e278b7bf6823da0afa9290a12a84a0e641d31dd63fddaafd82a56000c80.

FunASR 1.4.25

Source: 455ad37cc03bd01e85740caf64788ee4cf8ebe2c / tag v1.4.25.

Fixes

• #3863: Python 3.12-compatible boolean argument parsing without distutils, retaining normalized invalid-value messages and boolean return types.
• #3866: remove synthetic leading spaces from Latin sentence timestamp output while preserving time boundaries, raw text and VAD alignment.

This root wheel does not publish the independent funasr-onnx runtime fix from #3865. Open SenseVoice #3861 and VAD #3862 changes are not included.

Verification Scope

• Corrected #3863 head: actual Python 3.10/3.12 hosted artifacts each have 53 passing tests, including 23 boolean-parser contracts. Corrected #3866 head: actual NumPy 1.26.4/2.4.0 artifacts each have 421 passes and 27 CUDA-only skips. Old failed runs are retained, not rerun.
• Combined source: 468 passes and 33 skips across the union of both CI selections. An earlier private run had one missing pytorch_wpe child-process import (467 passes); a process-only private dependency path corrected it without changing product source or assertions.
• Candidate release/docs checks: {'contract-green-v3': {'testcase': 49, 'failure': 0, 'error': 0, 'skipped': 0}, 'static-remainder': {'testcase': 104, 'failure': 0, 'error': 0, 'skipped': 2}, 'installed-behavior-candidate': {'testcase': 54, 'failure': 0, 'error': 0, 'skipped': 0}}. Actual installed candidate and final wheels exercise the parser, timestamps and mocked VAD integration; final counts: {'testcase': 54, 'failure': 0, 'error': 0, 'skipped': 0}. All 439 package files and 13 entrypoints match accepted source.
• Root model/GPU-runtime bytes are unchanged from 1.4.24 and remain bound to its accepted L20Z evidence. No new GPU execution, pretrained ASR-quality, full-suite or Nano result is claimed. The prior repository-wide offline attempt remains incomplete at online model lookup and timeout.
• Head, merged-main and final-tag hosted CI and actual checkout trees are separately accepted. Final Python wheel and sdist are newly downloaded and checked for metadata, exact source bytes, archive integrity, strict Twine, private offline installation and CLI behavior.
• Ten unchanged runtime archives reuse complete cache bytes, freshly rehashed against the new assets and original runtime release with archive-integrity checks. They were not rebuilt or re-executed. SHA256SUMS covers all 12 payloads.
• The 1.4.24 warning still applies: checkpoints trained with both norm_means=True and norm_vars=True need recognition-quality reevaluation. norm_vars=False remains the default.
• No production upgrade or adoption/growth claim.

What's Changed

• fix(onnx): load non-.wav audio paths with librosa instead of pydub by @tanishqbaweja in #3865
• fix(utils): remove distutils boolean parser by @GPT-AGI in #3863
• fix: drop the leading space on Latin sentence timestamps by @GPT-AGI in #3866
• Release FunASR 1.4.25 by @LauraGPT in #3875

New Contributors

• @GPT-AGI made their first contribution in #3863

Full Changelog: v1.4.24...v1.4.25

Runtime downloads

This Python release pairs with the current prebuilt llama.cpp / GGUF runtime release: runtime-llamacpp-v0.2.6.

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	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 Blackwell (sm_120)	funasr-llamacpp-windows-x64-cuda-blackwell.zip	e32961a753f40888182f352fa551159c5165a6a77718ae4ade316aedfea4b1c2
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

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:

python -m pip install -U "funasr==1.4.25"