ggerganov
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whisper.cpp

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OpenAI's Whisper models converted to ggml format

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Model	Disk	SHA
tiny	75 MiB	`bd577a113a864445d4c299885e0cb97d4ba92b5f`
tiny.en	75 MiB	`c78c86eb1a8faa21b369bcd33207cc90d64ae9df`
base	142 MiB	`465707469ff3a37a2b9b8d8f89f2f99de7299dac`
base.en	142 MiB	`137c40403d78fd54d454da0f9bd998f78703390c`
small	466 MiB	`55356645c2b361a969dfd0ef2c5a50d530afd8d5`
small.en	466 MiB	`db8a495a91d927739e50b3fc1cc4c6b8f6c2d022`
small.en-tdrz	465 MiB	`b6c6e7e89af1a35c08e6de56b66ca6a02a2fdfa1`
medium	1.5 GiB	`fd9727b6e1217c2f614f9b698455c4ffd82463b4`
medium.en	1.5 GiB	`8c30f0e44ce9560643ebd10bbe50cd20eafd3723`
large-v1	2.9 GiB	`b1caaf735c4cc1429223d5a74f0f4d0b9b59a299`
large-v2	2.9 GiB	`0f4c8e34f21cf1a914c59d8b3ce882345ad349d6`
large-v2-q5_0	1.1 GiB	`00e39f2196344e901b3a2bd5814807a769bd1630`
large-v3	2.9 GiB	`ad82bf6a9043ceed055076d0fd39f5f186ff8062`
large-v3-q5_0	1.1 GiB	`e6e2ed78495d403bef4b7cff42ef4aaadcfea8de`
large-v3-turbo	1.5 GiB	`4af2b29d7ec73d781377bfd1758ca957a807e941`
large-v3-turbo-q5_0	547 MiB	`e050f7970618a659205450ad97eb95a18d69c9ee`

For more information, visit:

https://github.com/ggerganov/whisper.cpp/tree/master/models

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