Model reference · open weights

Fun-ASR-Nano-2512

Audio FunAudioLLM Speech→text 3 builds Its own licence terms 35k dl/mo

Fun-ASR-Nano-2512 is an open-weight audio or speech model from FunAudioLLM. Fun-ASR-Nano-2512-GGUF (GGUF) weighs 1.7 GB; the smallest configuration that runs it is RTX 3060 12 GB.

  • Fun-ASR-Nano-2512 is an automatic speech recognition model developed by FunAudioLLM, available as standalone audio.cpp GGUF builds for offline multilingual transcription.
  • The model supports Chinese, English, Japanese, yue, Korean, Vietnamese, Indonesian, and Thai, among others, and does not provide streaming or timestamp output.
  • It is distributed under the FunASR Model Open Source License Agreement v1.1.

Summary of the FunAudioLLM/Fun-ASR-Nano-2512-GGUF model card, 2026-10-01

What it is

Released byFunAudioLLM
Released2026-07-29
VRAM1.7 GB for the weights

What it runs on

Memory and cards for Fun-ASR-Nano-2512-GGUF (GGUF)

1.7 GBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

Builds

Sizes, precisions & builds

BuildParamsPrecisionWeightsSmallest setup
Fun-ASR-Nano-2512-GGUF (above) ↗
2 builds: Q8_0 1.0 GB … F16 1.7 GB
—GGUF 1.7 GBRTX 3060 12 GB
Fun-ASR-Nano-2512-hf ↗ 830MBF16 1.7 GBRTX 3060 12 GB
Fun-ASR-Nano-2512 ↗ —BF16 2.0 GBRTX 3060 12 GB

From the model card

What FunAudioLLM says about Fun-ASR-Nano-2512

Read the model card

Standalone audio.cpp GGUF builds of FunAudioLLM/Fun-ASR-Nano-2512-hf. Each file embeds the model configuration, processor configuration, tokenizer, chat template, and the audio.cpp model package specification.

Files

FileSizeSHA256
fun-asr-nano-2512-q8_0.gguf1,045,334,432 bytes4d727357574b079b7f43336b2930f39da086ca02f5d8d50872090b4c1c3d5e0a
fun-asr-nano-2512-f16.gguf1,675,708,832 bytes3d906c3ccfed07efef88ff53d6cc94b788b9d2edf1492a5679d041b43e98c5be

The source checkpoint is pinned to revision 854d88f94205cd17d2afdb24332130d86fbe654a. The source model.safetensors SHA256 is 335ca3e74917f1156690400e2c344350112950165789cf78ce3d0a367affd821.

audio.cpp

audiocpp_cli \
  --task asr \
  --family fun_asr_nano \
  --model fun-asr-nano-2512-q8_0.gguf \
  --backend cuda \
  --audio speech.wav

Fun-ASR-Nano currently provides offline multilingual ASR. It does not expose streaming or timestamp output. On CUDA, audio.cpp keeps the Q8_0 encoder and adaptor weights native and loads decoder weights as BF16 by default for stable logits. An explicit fun_asr_nano.decoder_weight_type session option overrides that default.

Reproducibility

The files were generated with audio.cpp's audiocpp_gguf converter:

audiocpp_gguf \
  --input model.safetensors \
  --root /path/to/Fun-ASR-Nano-2512-hf \
  --output fun-asr-nano-2512-q8_0.gguf \
  --type q8_0 \
  --family fun_asr_nano \
  --model-spec model_specs/fun_asr_nano.json

Both formats were checked with audiocpp_gguf --inspect and full reference audio transcription on CPU and NVIDIA H100 CUDA.

License

The original model and these converted weights are governed by the FunASR Model Open Source License Agreement v1.1 distributed with the source model. Review that agreement before using or redistributing the files.

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.
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