moonshine-streaming-medium-gguf

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handy-computer/moonshine-streaming-medium-gguf

kind: gguf
quant: gguf (16-bit)
family: misc
modality: automatic-speech-recognition
root model: UsefulSensors/moonshine-streaming-medium
provider: handy-computer
license: mit
language: en
context: —
library: transcribe.cpp
vRAM (GB): —
size on disk: —
downloads: 10,975
likes: 0
created: —
last modified: 2026-06-28T13:17:43+00:00 (2026)
huggingface: https://huggingface.co/handy-computer/moonshine-streaming-medium-gguf
tags: transcribe.cppggufasrspeech-to-textmoonshinemoonshine-streaminguseful-sensorsencoder-decoderautomatic-speech-recognitionenbase_model:UsefulSensors/moonshine-streaming-mediumbase_model:quantized:UsefulSensors/moonshine-streaming-mediumlicense:mitregion:us

benchmark	category	score	context	conf	evidence
WER Earnings-22	speech-asr	20.27	Earnings-22	medium	`\| Earnings-22 \| 20.27 \| 13.53 \| 11.90 \|`
WER AMI	speech-asr	19.03	AMI	medium	`\| AMI \| 19.03 \| 12.54 \| 10.68 \|`
WER VoxPopuli	speech-asr	14.02	VoxPopuli	medium	`\| VoxPopuli \| 14.02 \| 9.98 \| 8.54 \|`
WER GigaSpeech	speech-asr	13.9	GigaSpeech	medium	`\| GigaSpeech \| 13.90 \| 10.41 \| 9.46 \|`
WER LibriSpeech	speech-asr	12.09	LibriSpeech (other)	medium	`\| LibriSpeech (other) \| 12.09 \| 6.78 \| 5.00 \|`
WER SPGISpeech	speech-asr	6.16	SPGISpeech	medium	`\| SPGISpeech \| 6.16 \| 3.19 \| 2.58 \|`
WER TED-LIUM	speech-asr	6.12	TED-LIUM	medium	`\| TED-LIUM \| 6.12 \| 3.77 \| 2.99 \|`
WER LibriSpeech	speech-asr	4.49	LibriSpeech (clean)	medium	`\| LibriSpeech (clean) \| 4.49 \| 2.49 \| 2.08 \|`
WER	speech-asr	2.16		low	`\| F32 \| [moonshine-streaming-medium-F32.gguf](https://huggingface.co/handy-computer/moonshine-streaming-medium-gguf/resolve/main/moonshine-streaming-medium-F32.gguf) \| 1015 MB \| 2.`

none scraped.