Fun ASR Nano 2512: transcribe.cpp GGUF GGUF conversions of FunAudioLLM/Fun ASR Nano 2512 for use with transcribe.cpp. Ported from upstream commit a7088d620f755dcdca575b63db184c3ad55b2865, pinned 2026 05 06. Validated against the FunASR reference at transcribe.cpp commit f094d28 on 2026 05 06. Offline speech to text in Chinese, English, and Japanese, plus 7 Chinese dialects (Wu, Cantonese, Min, Hakka, Gan, Xiang, Jin) and 26 regional Mandarin accents. ~800M trainable parameters wrapping a frozen SenseVoiceEncoderSmall (50 SAN M main blocks + 20 transformer blocks), a 2 layer audio adaptor (512 → 1024), and a bundled Qwen3 0.6B LLM (28 layers, 16/8 GQA, BF16) that produces the transcript autoregressively. Takes a 16 kHz mono WAV and emits text. Not a streaming model, no translation, no built in long form chunking, no timestamps. ITN (inverse text normalization) is supported by the model and exposed via the itn CLI flag and transcribe funasr nano params { use itn } in the library API. Downloads Quantization Download Size WER (LibriSpeech test clean) : : BF16 Fun ASR Nano 2512 BF16.gguf 1590 MB 1.78% F16 Fun ASR Nano 2512 F16.gguf 1590 MB 1.79% Q8 0 Fun ASR Nano 2512 Q8 0.gguf 850 MB 1…
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