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README.md
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@@ -6,6 +6,7 @@ pipeline_tag: automatic-speech-recognition
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# OpenAI's Whisper models converted to ggml format for use with [whisper.cpp](https://github.com/ggerganov/whisper.cpp)
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Our used models for [BRICKS](https://bricks.tools), based on
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- [https://huggingface.co/ggerganov/whisper.cpp](https://huggingface.co/ggerganov/whisper.cpp)
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- [https://huggingface.co/distil-whisper](https://huggingface.co/distil-whisper)
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- [https://huggingface.co/akashmjn/tinydiarize-whisper.cpp](https://huggingface.co/akashmjn/tinydiarize-whisper.cpp)
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@@ -35,9 +36,9 @@ Our used models for [BRICKS](https://bricks.tools), based on
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| small.en-tdrz | 488 MiB | `b6c6e7e89af1a35c08e6de56b66ca6a02a2fdfa1` |
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| small.en-tdrz-q5_1 | 190 MiB | `6c91afe29c9e05a90e16fc32bbeb6516f7896055` |
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| small.en-tdrz-q8_0 | 265 MiB | `bfd69251504f7e7128a65d57cebfdc1c69faad11` |
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| distil-small
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| distil-small-q5_1
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| distil-small-q8_0
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| medium | 1.5 GiB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
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| medium-q5_0 | 514 MiB | `7718d4c1ec62ca96998f058114db98236937490e` |
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| medium-q8_0 | 785 MiB | `e66645948aff4bebbec71b3485c576f3d63af5d6` |
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# OpenAI's Whisper models converted to ggml format for use with [whisper.cpp](https://github.com/ggerganov/whisper.cpp)
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Our used models for [BRICKS](https://bricks.tools), based on
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+
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- [https://huggingface.co/ggerganov/whisper.cpp](https://huggingface.co/ggerganov/whisper.cpp)
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- [https://huggingface.co/distil-whisper](https://huggingface.co/distil-whisper)
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- [https://huggingface.co/akashmjn/tinydiarize-whisper.cpp](https://huggingface.co/akashmjn/tinydiarize-whisper.cpp)
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| small.en-tdrz | 488 MiB | `b6c6e7e89af1a35c08e6de56b66ca6a02a2fdfa1` |
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| small.en-tdrz-q5_1 | 190 MiB | `6c91afe29c9e05a90e16fc32bbeb6516f7896055` |
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| small.en-tdrz-q8_0 | 265 MiB | `bfd69251504f7e7128a65d57cebfdc1c69faad11` |
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| distil-small.en | 336 MiB | `81baf6bfbc0af2ad4d5c04a07db794c030bb5528` |
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| distil-small.en-q5_1 | 133 MiB | `f8832a1cd0edb1ce1549536d7c3dd67258dc4565` |
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| distil-small.en-q8_0 | 184 MiB | `7075bc3c698c5bb4e275f1d4bc89c734fa2052da` |
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| medium | 1.5 GiB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
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| medium-q5_0 | 514 MiB | `7718d4c1ec62ca96998f058114db98236937490e` |
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| medium-q8_0 | 785 MiB | `e66645948aff4bebbec71b3485c576f3d63af5d6` |
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