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kwwc1/
whisper.cpp

automatic-speech-recognition

mit

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OpenAI's Whisper models converted to ggml format for use with whisper.cpp

Available models

Model	Disk	SHA
tiny	75 MiB	`bd577a113a864445d4c299885e0cb97d4ba92b5f`
tiny-q5_1	31 MiB	`2827a03e495b1ed3048ef28a6a4620537db4ee51`
tiny-q8_0	42 MiB	`19e8118f6652a650569f5a949d962154e01571d9`
tiny.en	75 MiB	`c78c86eb1a8faa21b369bcd33207cc90d64ae9df`
tiny.en-q5_1	31 MiB	`3fb92ec865cbbc769f08137f22470d6b66e071b6`
tiny.en-q8_0	42 MiB	`802d6668e7d411123e672abe4cb6c18f12306abb`
base	142 MiB	`465707469ff3a37a2b9b8d8f89f2f99de7299dac`
base-q5_1	57 MiB	`a3733eda680ef76256db5fc5dd9de8629e62c5e7`
base-q8_0	78 MiB	`7bb89bb49ed6955013b166f1b6a6c04584a20fbe`
base.en	142 MiB	`137c40403d78fd54d454da0f9bd998f78703390c`
base.en-q5_1	57 MiB	`d26d7ce5a1b6e57bea5d0431b9c20ae49423c94a`
base.en-q8_0	78 MiB	`bb1574182e9b924452bf0cd1510ac034d323e948`
small	466 MiB	`55356645c2b361a969dfd0ef2c5a50d530afd8d5`
small-q5_1	181 MiB	`6fe57ddcfdd1c6b07cdcc73aaf620810ce5fc771`
small-q8_0	252 MiB	`bcad8a2083f4e53d648d586b7dbc0cd673d8afad`
small.en	466 MiB	`db8a495a91d927739e50b3fc1cc4c6b8f6c2d022`
small.en-q5_1	181 MiB	`20f54878d608f94e4a8ee3ae56016571d47cba34`
small.en-q8_0	252 MiB	`9d75ff4ccfa0a8217870d7405cf8cef0a5579852`
small.en-tdrz	465 MiB	`b6c6e7e89af1a35c08e6de56b66ca6a02a2fdfa1`
medium	1.5 GiB	`fd9727b6e1217c2f614f9b698455c4ffd82463b4`
medium-q5_0	514 MiB	`7718d4c1ec62ca96998f058114db98236937490e`
medium-q8_0	785 MiB	`e66645948aff4bebbec71b3485c576f3d63af5d6`
medium.en	1.5 GiB	`8c30f0e44ce9560643ebd10bbe50cd20eafd3723`
medium.en-q5_0	514 MiB	`bb3b5281bddd61605d6fc76bc5b92d8f20284c3b`
medium.en-q8_0	785 MiB	`b1cf48c12c807e14881f634fb7b6c6ca867f6b38`
large-v1	2.9 GiB	`b1caaf735c4cc1429223d5a74f0f4d0b9b59a299`
large-v2	2.9 GiB	`0f4c8e34f21cf1a914c59d8b3ce882345ad349d6`
large-v2-q5_0	1.1 GiB	`00e39f2196344e901b3a2bd5814807a769bd1630`
large-v2-q8_0	1.5 GiB	`da97d6ca8f8ffbeeb5fd147f79010eeea194ba38`
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`
large-v3-turbo-q8_0	834 MiB	`01bf15bedffe9f39d65c1b6ff9b687ea91f59e0e`

For more information, visit:

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

kwwc1/whisper.cpp

OpenAI's Whisper models converted to ggml format for use with whisper.cpp

kwwc1/
whisper.cpp