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ggerganov
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whisper.cpp

Automatic Speech Recognition
Model card Files Community
20

Can You upload large v2 model

#3
by Tsogtpurev - opened
base: refs/heads/main
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from: refs/pr/3
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Files changed (37) hide show
  1. README.md +14 -39
  2. ggml-base-encoder.mlmodelc.zip +0 -3
  3. ggml-base-q5_1.bin +0 -3
  4. ggml-base-q8_0.bin +0 -3
  5. ggml-base.en-encoder.mlmodelc.zip +0 -3
  6. ggml-base.en-q5_1.bin +0 -3
  7. ggml-base.en-q8_0.bin +0 -3
  8. ggml-large-v1-encoder.mlmodelc.zip +0 -3
  9. ggml-large-v2-encoder.mlmodelc.zip +0 -3
  10. ggml-large-v2-q5_0.bin +0 -3
  11. ggml-large-v2-q8_0.bin +0 -3
  12. ggml-large-v3-encoder.mlmodelc.zip +0 -3
  13. ggml-large-v3-q5_0.bin +0 -3
  14. ggml-large-v3-turbo-encoder.mlmodelc.zip +0 -3
  15. ggml-large-v3-turbo-q5_0.bin +0 -3
  16. ggml-large-v3-turbo-q8_0.bin +0 -3
  17. ggml-large-v3-turbo.bin +0 -3
  18. ggml-large-v3.bin +0 -3
  19. ggml-large-v2.bin → ggml-large.bin +0 -0
  20. ggml-medium-encoder.mlmodelc.zip +0 -3
  21. ggml-medium-q5_0.bin +0 -3
  22. ggml-medium-q8_0.bin +0 -3
  23. ggml-medium.en-encoder.mlmodelc.zip +0 -3
  24. ggml-medium.en-q5_0.bin +0 -3
  25. ggml-medium.en-q8_0.bin +0 -3
  26. ggml-small-encoder.mlmodelc.zip +0 -3
  27. ggml-small-q5_1.bin +0 -3
  28. ggml-small-q8_0.bin +0 -3
  29. ggml-small.en-encoder.mlmodelc.zip +0 -3
  30. ggml-small.en-q5_1.bin +0 -3
  31. ggml-small.en-q8_0.bin +0 -3
  32. ggml-tiny-encoder.mlmodelc.zip +0 -3
  33. ggml-tiny-q5_1.bin +0 -3
  34. ggml-tiny-q8_0.bin +0 -3
  35. ggml-tiny.en-encoder.mlmodelc.zip +0 -3
  36. ggml-tiny.en-q5_1.bin +0 -3
  37. ggml-tiny.en-q8_0.bin +0 -3
README.md CHANGED
@@ -1,49 +1,24 @@
1
  ---
2
  license: mit
3
- pipeline_tag: automatic-speech-recognition
4
  ---
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
 
47
  For more information, visit:
48
 
49
- https://github.com/ggerganov/whisper.cpp/tree/master/models
 
1
  ---
2
  license: mit
 
3
  ---
4
 
5
+ # OpenAI's Whisper models converted to ggml format
6
 
7
  [Available models](https://huggingface.co/ggerganov/whisper.cpp/tree/main)
8
 
9
+ | Model | Disk | Mem | SHA |
10
+ | --- | --- | --- | --- |
11
+ | tiny | 75 MB | ~390 MB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
12
+ | tiny.en | 75 MB | ~390 MB | `c78c86eb1a8faa21b369bcd33207cc90d64ae9df` |
13
+ | base | 142 MB | ~500 MB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
14
+ | base.en | 142 MB | ~500 MB | `137c40403d78fd54d454da0f9bd998f78703390c` |
15
+ | small | 466 MB | ~1.0 GB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
16
+ | small.en | 466 MB | ~1.0 GB | `db8a495a91d927739e50b3fc1cc4c6b8f6c2d022` |
17
+ | medium | 1.5 GB | ~2.6 GB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
18
+ | medium.en | 1.5 GB | ~2.6 GB | `8c30f0e44ce9560643ebd10bbe50cd20eafd3723` |
19
+ | large-v1 | 2.9 GB | ~4.7 GB | `b1caaf735c4cc1429223d5a74f0f4d0b9b59a299` |
20
+ | large | 2.9 GB | ~4.7 GB | `0f4c8e34f21cf1a914c59d8b3ce882345ad349d6` |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
21
 
22
  For more information, visit:
23
 
24
+ https://github.com/ggerganov/whisper.cpp/tree/master/models
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