FunASR 1.4.5

FunASR 1.4.5

This release makes the default Python inference install lighter and puts the current prebuilt llama.cpp / GGUF runtimes beside the Python distributions so deployment users can start from one release page.

Install

python -m pip install -U "funasr==1.4.5"

Install the optional kaldi-native-fbank backend with:

python -m pip install -U "funasr[knf]==1.4.5"

Highlights

• torchaudio is no longer a hard dependency for standard inference. Existing torchaudio-based workflows remain supported when torchaudio is installed explicitly.
• The optional knf extra adds kaldi-native-fbank for a smaller inference dependency path.
• Ascend 910B validation processed 70.47 seconds of audio in 1.15 seconds (RTF 0.016) under the documented test contract.
• Nine prebuilt llama.cpp / GGUF runtime archives from the pinned runtime-llamacpp-v0.2.1 release are attached below for Linux, macOS, and Windows CPU/GPU deployment.
• The Python wheel, source distribution, and SHA256SUMS-v1.4.5 are attached to this release and also published on PyPI.

What's Changed

• Remove the hard torchaudio inference dependency and add the kaldi-native-fbank backend by @li-lizhe in #3526
• Allow integrated GPU runtime backends by @LauraGPT in #3531
• Publish llama.cpp runtime v0.2.1 downloads by @LauraGPT in #3532
• Prepare the 1.4.5 package and release contract by @LauraGPT in #3534

Thanks to @li-lizhe for their first contribution.

Full Changelog: v1.4.4...v1.4.5

Runtime downloads

This Python release pairs with the current prebuilt llama.cpp / GGUF runtime release: runtime-llamacpp-v0.2.1.

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	9657e519986a5db72082aab508439559987fd4e563733d11da4662f898c75c45
Linux x64 AVX2	funasr-llamacpp-linux-x64-avx2.tar.gz	32e459673297fc01fcda6901ca7d63cc9e64896a43a3c9edcb7a8e1ef70fcd04
Linux x64 Vulkan	funasr-llamacpp-linux-x64-vulkan.tar.gz	d45d3acb77e05c4bae94d818ed4a5c66852be87b22c52723bd576377c055c6e6
Linux x64 portable	funasr-llamacpp-linux-x64.tar.gz	1bc83dd36d11b1a2b9a45faaf77a5d1014000ac641c93dfec73d24d71ec51caf
macOS arm64	funasr-llamacpp-macos-arm64.tar.gz	bc63c4d4b96f2465f1d258600668a971f4f600d661f1859b03797cefaa417167
Windows x64 AVX2	funasr-llamacpp-windows-x64-avx2.zip	67e428a91614f8a0c1d53dc2d79cce8efc7916c030ae2ddce2cbcf667ec1c502
Windows x64 CUDA	funasr-llamacpp-windows-x64-cuda.zip	af32e0ef352880fcfd5589e0152c44038bc81f462f42c7a6ca91a0d9879bac58
Windows x64 Vulkan	funasr-llamacpp-windows-x64-vulkan.zip	5fd179c6aefc18477eb79fa6235c70d131a96eba621318bb84e901ae85035578
Windows x64 portable	funasr-llamacpp-windows-x64.zip	b8f2b8f241b57921d82d64068d9b5695629779f3db5f3205a730cb3810232bb4

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==1.4.5"