FunASR 1.4.3
Install or upgrade the Python package:
python -m pip install -U "funasr==1.4.3"Enable the optional Silero VAD adapter:
python -m pip install -U "funasr[silero]==1.4.3"PyPI: https://pypi.org/project/funasr/1.4.3/
Python package
- Adds an optional Silero VAD adapter for
AutoModel(vad_model="silero-vad"), with FunASR-compatible millisecond segments, configurable thresholds, 8/16 kHz input, ONNX mode, and bounded segment lengths. - Routes large speaker-embedding sets with a known speaker count through normalized fixed-K clustering instead of memory-heavy dense spectral clustering.
Ecosystem and deployment
- Refreshes the source release with validated MLX Audio and OpenMAIC FunASR integrations.
- Updates product-site discovery, deployment routing, and current llama.cpp runtime contracts.
Prebuilt llama.cpp runtime
The release includes verified runtime-llamacpp-v0.2.0 builds for nine Linux, macOS, and Windows targets, including Windows CUDA and Linux/Windows Vulkan. Use SHA256SUMS-v1.4.3 to verify every Python and runtime artifact after download.
Full Changelog: v1.4.2...v1.4.3
Runtime downloads
This Python release pairs with the current prebuilt llama.cpp / GGUF runtime release: runtime-llamacpp-v0.2.0.
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 | c78987b2384c6aef339aea1bcd0e130070455d6394fa7ab7ca26840ead10d5da |
| Linux x64 AVX2 | funasr-llamacpp-linux-x64-avx2.tar.gz | 02e10e9a46ea76a040c45d431efe51a3324e64f08c24d38e18c8a4d2781490cd |
| Linux x64 Vulkan | funasr-llamacpp-linux-x64-vulkan.tar.gz | caf71b8c0b4c3249cebc4175e5406d3c588eb9e8966a00d571d4cc5070405385 |
| Linux x64 portable | funasr-llamacpp-linux-x64.tar.gz | 15e6407143b4fb91d90bb37f2a41c64c4d48ea0fbe6404b88a9b70269c84f240 |
| macOS arm64 | funasr-llamacpp-macos-arm64.tar.gz | 416cbb289e31cb7575365d382155074e922fd061807a37b9ca0247dabd9bc6f9 |
| Windows x64 AVX2 | funasr-llamacpp-windows-x64-avx2.zip | 4db0f11f603c324a63545cd7009cdd45bb45576efe282cec22796b5fd42d8ea1 |
| Windows x64 CUDA | funasr-llamacpp-windows-x64-cuda.zip | 7f2f9ef4d7e0291b284a295ec74bbeca9ea635a7f5f42d0ad06eb780c0d6efc1 |
| Windows x64 Vulkan | funasr-llamacpp-windows-x64-vulkan.zip | 90b45240c6ccc9177c25490a11848de60a406e129391c8736b14521c0c28cdcb |
| Windows x64 portable | funasr-llamacpp-windows-x64.zip | 297c962346d7e30d7a7c2c860dfaab3ff07d01fddf15e6fc5212ca9545441a51 |
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==1.4.3"