Fun-ASR-MLT-Nano-2512-gguf

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handy-computer/Fun-ASR-MLT-Nano-2512-gguf

kind: gguf
quant: gguf (16-bit)
family: misc
modality: automatic-speech-recognition
root model: FunAudioLLM/Fun-ASR-MLT-Nano-2512
provider: handy-computer
license: other
language: zh, en, yue, ja, ko, vi, id, th, ms, tl, ar, hi
context: —
library: transcribe.cpp
vRAM (GB): —
size on disk: —
downloads: 38,832
likes: 0
created: —
last modified: 2026-06-28T13:16:13+00:00 (2026)
huggingface: https://huggingface.co/handy-computer/Fun-ASR-MLT-Nano-2512-gguf
tags: transcribe.cppggufasrspeech-to-textfun-asr-nanofun-asr-mlt-nanosense-voice-encoderqwen3audio-llmmultilingualautomatic-speech-recognitionzhenyuejakoviidthmstlarhibg

benchmark	category	score	context	conf	evidence
WER FLEURS	speech-asr	5.78	Fleurs-en	medium	`\| Fleurs-en \| 5.78 \| 6.95 \| 6.23 \| 9.39 \| 9.39 \| 6.99 \| 3.03 \| 10.79 \| 5.96 \| 4.74 \|`
WER LibriSpeech	speech-asr	4.19	Librispeech-other	medium	`\| Librispeech-other \| 4.19 \| 4.43 \| 3.43 \| 2.84 \| 5.69 \| 2.63 \| 2.42 \| 4.52 \| 4.33 \| 3.03 \|`
WER FLEURS	speech-asr	3.65	Fleurs-zh	medium	`\| Fleurs-zh \| - \| 3.65 \| 5.18 \| 3.43 \| 3.23 \| 3.11 \| 2.68 \| 4.81 \| 2.56 \| 2.53 \|`
WER LibriSpeech	speech-asr	2.0	Librispeech-clean	medium	`\| Librispeech-clean \| 2.00 \| 2.17 \| 1.86 \| 1.58 \| 2.8 \| 1.32 \| 1.17 \| 1.84 \| 1.76 \| 1.51 \|`
WER	speech-asr	1.74		low	`\| BF16 \| [Fun-ASR-MLT-Nano-2512-BF16.gguf](https://huggingface.co/handy-computer/Fun-ASR-MLT-Nano-2512-gguf/resolve/main/Fun-ASR-MLT-Nano-2512-BF16.gguf) \| 1590 MB \| 1.74% \|`

none scraped.