ggerganov/whisper.cpp

1---2license: mit3pipeline_tag: automatic-speech-recognition4---5 6# OpenAI's Whisper models converted to ggml format for use with [whisper.cpp](https://github.com/ggerganov/whisper.cpp)7 8[Available models](https://huggingface.co/ggerganov/whisper.cpp/tree/main)9 10| Model               | Disk    | SHA                                        |11| ------------------- | ------- | ------------------------------------------ |12| tiny                | 75 MiB  | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |13| tiny-q5_1           | 31 MiB  | `2827a03e495b1ed3048ef28a6a4620537db4ee51` |14| tiny-q8_0           | 42 MiB  | `19e8118f6652a650569f5a949d962154e01571d9` |15| tiny.en             | 75 MiB  | `c78c86eb1a8faa21b369bcd33207cc90d64ae9df` |16| tiny.en-q5_1        | 31 MiB  | `3fb92ec865cbbc769f08137f22470d6b66e071b6` |17| tiny.en-q8_0        | 42 MiB  | `802d6668e7d411123e672abe4cb6c18f12306abb` |18| base                | 142 MiB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |19| base-q5_1           | 57 MiB  | `a3733eda680ef76256db5fc5dd9de8629e62c5e7` |20| base-q8_0           | 78 MiB  | `7bb89bb49ed6955013b166f1b6a6c04584a20fbe` |21| base.en             | 142 MiB | `137c40403d78fd54d454da0f9bd998f78703390c` |22| base.en-q5_1        | 57 MiB  | `d26d7ce5a1b6e57bea5d0431b9c20ae49423c94a` |23| base.en-q8_0        | 78 MiB  | `bb1574182e9b924452bf0cd1510ac034d323e948` |24| small               | 466 MiB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |25| small-q5_1          | 181 MiB | `6fe57ddcfdd1c6b07cdcc73aaf620810ce5fc771` |26| small-q8_0          | 252 MiB | `bcad8a2083f4e53d648d586b7dbc0cd673d8afad` |27| small.en            | 466 MiB | `db8a495a91d927739e50b3fc1cc4c6b8f6c2d022` |28| small.en-q5_1       | 181 MiB | `20f54878d608f94e4a8ee3ae56016571d47cba34` |29| small.en-q8_0       | 252 MiB | `9d75ff4ccfa0a8217870d7405cf8cef0a5579852` |30| small.en-tdrz       | 465 MiB | `b6c6e7e89af1a35c08e6de56b66ca6a02a2fdfa1` |31| medium              | 1.5 GiB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |32| medium-q5_0         | 514 MiB | `7718d4c1ec62ca96998f058114db98236937490e` |33| medium-q8_0         | 785 MiB | `e66645948aff4bebbec71b3485c576f3d63af5d6` |34| medium.en           | 1.5 GiB | `8c30f0e44ce9560643ebd10bbe50cd20eafd3723` |35| medium.en-q5_0      | 514 MiB | `bb3b5281bddd61605d6fc76bc5b92d8f20284c3b` |36| medium.en-q8_0      | 785 MiB | `b1cf48c12c807e14881f634fb7b6c6ca867f6b38` |37| large-v1            | 2.9 GiB | `b1caaf735c4cc1429223d5a74f0f4d0b9b59a299` |38| large-v2            | 2.9 GiB | `0f4c8e34f21cf1a914c59d8b3ce882345ad349d6` |39| large-v2-q5_0       | 1.1 GiB | `00e39f2196344e901b3a2bd5814807a769bd1630` |40| large-v2-q8_0       | 1.5 GiB | `da97d6ca8f8ffbeeb5fd147f79010eeea194ba38` |41| large-v3            | 2.9 GiB | `ad82bf6a9043ceed055076d0fd39f5f186ff8062` |42| large-v3-q5_0       | 1.1 GiB | `e6e2ed78495d403bef4b7cff42ef4aaadcfea8de` |43| large-v3-turbo      | 1.5 GiB | `4af2b29d7ec73d781377bfd1758ca957a807e941` |44| large-v3-turbo-q5_0 | 547 MiB | `e050f7970618a659205450ad97eb95a18d69c9ee` |45| large-v3-turbo-q8_0 | 834 MiB | `01bf15bedffe9f39d65c1b6ff9b687ea91f59e0e` |46 47For more information, visit:48 49https://github.com/ggerganov/whisper.cpp/tree/master/models