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Releases: modelscope/FunASR

FunASR llama.cpp runtime runtime-llamacpp-v0.1.4

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@github-actions github-actions released this 29 Jun 13:22
1c22668

Prebuilt self-contained binaries for the FunASR llama.cpp / GGUF runtime — SenseVoice, Paraformer and Fun-ASR-Nano with built-in FSMN-VAD (a whisper.cpp-style on-device ASR, strong on Chinese). Get a model with bash download-funasr-model.sh <sensevoice|paraformer|nano>, then run llama-funasr-cli / llama-funasr-sensevoice / llama-funasr-paraformer. Use the default x64 asset for maximum CPU compatibility; use the x64-avx2 asset on CPUs with AVX2/FMA/F16C/BMI2 for higher throughput. No Python, no build. Docs: runtime/llama.cpp/README.md

FunASR llama.cpp runtime runtime-llamacpp-v0.1.3

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@github-actions github-actions released this 28 Jun 17:25
0f655f2

Prebuilt self-contained binaries for the FunASR llama.cpp / GGUF runtime — SenseVoice, Paraformer and Fun-ASR-Nano with built-in FSMN-VAD (a whisper.cpp-style on-device ASR, strong on Chinese). Get a model with bash download-funasr-model.sh <sensevoice|paraformer|nano>, then run llama-funasr-cli / llama-funasr-sensevoice / llama-funasr-paraformer. No Python, no build. Docs: runtime/llama.cpp/README.md

v1.3.13

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@github-actions github-actions released this 22 Jun 14:35

What's Changed

  • docs(vllm_guide): explain EmbedsPrompt/streaming partial/SPK/concurre… by @qiulang in #3011
  • docs(README): make the llama.cpp/GGUF (CPU/edge) runtime a first-class section by @LauraGPT in #3012
  • feat: q8_0 GGUF export — half-size encoders, CER unchanged by @LauraGPT in #3013
  • docs(README): refresh What's New with June updates by @LauraGPT in #3015
  • docs(README): holistic fixes — broken quickstart, stray links, consistency by @LauraGPT in #3016
  • docs(README): canonical iic/ ModelScope namespace by @LauraGPT in #3017
  • fix(glm_asr): dedup result keys for duplicate audio basenames by @SuperMarioYL in #3014

Full Changelog: v1.3.12...v1.3.13

v1.3.12

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@github-actions github-actions released this 21 Jun 14:35

What's Changed

  • docs(vllm_guide): drop stale repetition_penalty hardcode note by @LauraGPT in #3007
  • fix(qwen3-asr): map ISO/short language codes to qwen-asr canonical names by @montvid in #3008
  • docs(README): make the quickstart runnable (missing model.generate call) by @LauraGPT in #3010
  • docs(vllm_guide): let vLLM pin torch/torchaudio in the installation steps by @qiulang in #3009

New Contributors

Full Changelog: v1.3.11...v1.3.12

FunASR llama.cpp runtime runtime-llamacpp-v0.1.2

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@github-actions github-actions released this 21 Jun 17:44
631f44a

Prebuilt self-contained binaries for the FunASR llama.cpp / GGUF runtime — SenseVoice, Paraformer and Fun-ASR-Nano with built-in FSMN-VAD (a whisper.cpp-style on-device ASR, strong on Chinese). Get a model with bash download-funasr-model.sh <sensevoice|paraformer|nano>, then run llama-funasr-cli / llama-funasr-sensevoice / llama-funasr-paraformer. No Python, no build. Docs: runtime/llama.cpp/README.md

v1.3.11

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@github-actions github-actions released this 20 Jun 14:52

What's Changed

  • docs: python wss server now supports multiple concurrent clients by @LauraGPT in #2985
  • docs: make README quickstart runnable and output truthful by @LauraGPT in #2986
  • docs: fix README streaming example (runnable + actually streams) by @LauraGPT in #2987
  • Add llama.cpp / GGUF runtime (Fun-ASR-Nano, SenseVoice, Paraformer) by @LauraGPT in #2988
  • docs: link llama.cpp / GGUF (CPU/edge) runtime from Deploy section by @LauraGPT in #2991
  • ci: auto-create GitHub Release on version tag push by @LauraGPT in #2995
  • docs: CPU benchmark vs whisper.cpp (Chinese ASR) by @LauraGPT in #2992
  • feat: accept any audio input (any rate/channels, wav/mp3/flac) via miniaudio by @LauraGPT in #2994
  • feat: built-in FSMN-VAD (--vad) — single-binary speech segmentation, no Python at runtime by @LauraGPT in #2998
  • fix: FSMN-VAD review findings (MSVC M_PI, short-audio guard, tensor validation) by @LauraGPT in #2999
  • feat: B1 packaging — one-command download, standalone convert, CI-friendly CMake by @LauraGPT in #3000
  • docs: build note for funasr-common (A1 follow-up) by @LauraGPT in #2996
  • ci: cross-platform prebuilt binaries for the llama.cpp runtime by @LauraGPT in #3001
  • fix: B1 script portability (HF CLI fallback + friendly missing-dep error) by @LauraGPT in #3002
  • test: numerical regression harness (frozen golden vs ggml/VAD/CIF/CTC output) by @LauraGPT in #3003
  • feat: print transcription text in the binaries (in-binary detok) by @LauraGPT in #3004
  • fix: detok review findings (null vocab guard + utf-8 tokens read) by @LauraGPT in #3005
  • fix(glm_asr): warn when vLLM dtype=fp16 (degraded output) by @SuperMarioYL in #2993
  • fix(glm_asr): honor sampling params in vLLM generate() by @SuperMarioYL in #2997

Full Changelog: v1.3.10...v1.3.11

FunASR llama.cpp runtime runtime-llamacpp-v0.1.1

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@github-actions github-actions released this 20 Jun 08:45
807bcd5

Prebuilt self-contained binaries for the FunASR llama.cpp / GGUF runtime — SenseVoice, Paraformer and Fun-ASR-Nano with built-in FSMN-VAD (a whisper.cpp-style on-device ASR, strong on Chinese). Get a model with bash download-funasr-model.sh <sensevoice|paraformer|nano>, then run llama-funasr-cli / llama-funasr-sensevoice / llama-funasr-paraformer. No Python, no build. Docs: runtime/llama.cpp/README.md

FunASR llama.cpp runtime runtime-llamacpp-v0.1.0

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Prebuilt self-contained binaries for the FunASR llama.cpp / GGUF runtime — SenseVoice, Paraformer and Fun-ASR-Nano with built-in FSMN-VAD (a whisper.cpp-style on-device ASR, strong on Chinese). Get a model with bash download-funasr-model.sh <sensevoice|paraformer|nano>, then run llama-funasr-cli / llama-funasr-sensevoice / llama-funasr-paraformer. No Python, no build. Docs: runtime/llama.cpp/README.md

v1.3.10

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@LauraGPT LauraGPT released this 19 Jun 14:01

FunASR v1.3.10

New features

  • Agent-friendly CLI: funasr audio.wav --output-format json for structured output
  • Fun-ASR-Nano: batched VAD-segment decoding (~1.75× faster) (#2979)
  • WebSocket 2-pass server: sentence-level timestamps
  • serve_vllm.py: new --vad-model / --spk-model flags

Fixes

  • Fun-ASR-Nano: bf16/fp16 inference no longer crashes; warn on degraded fp16 (#2980)
  • Fun-ASR-Nano vLLM: fix CUDA crash from repetition_penalty
  • CLI: valid SRT timestamps + correct JSON durations (#2982); use sentence_info text (#2983); correct model id Fun-ASR-Nano-2512 (#2984)
  • Clearer error for missing audio path (#2981); respect explicit VAD silence threshold; handle None encoder/scheduler configs

Docs

  • New CLI reference; clearer vLLM install guidance

Full changelog: v1.3.9...v1.3.10

v1.3.9: Wheel packaging + SenseVoice speaker diarization fix

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@LauraGPT LauraGPT released this 29 May 20:53

What's New

Wheel packaging (fixes #2943)

FunASR now publishes a py3-none-any wheel alongside the source distribution. Installation is faster since pip no longer needs to build from source.

Bug fixes

  • SenseVoice + speaker diarization: Fixed crash when using spk_model="cam++" with SenseVoice (auto-falls back to VAD-segment mode since SenseVoice doesn't produce word-level timestamps)
  • torchaudio >= 2.11 compatibility: Added soundfile as intermediate fallback for users with newer torchaudio versions that removed legacy backends

Install / Upgrade

pip install --upgrade funasr

Full changelog: v1.3.3...v1.3.9