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Datasets:
EchoVix
/
models

Tasks:
Question Answering
Size:
100K<n<1M
Tags:
ChatGPT
License:
Dataset card Files
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harry commited on
Commit
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Clean initial commit with LFS

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Files changed (36) hide show
  1. .gitattributes +96 -0
  2. .gitignore +2 -0
  3. README.md +15 -0
  4. app/EchoVix-1.1.1-update.exe +3 -0
  5. app/EchoVix-1.1.1-update.tar.gz +3 -0
  6. app/EchoVix-Latest.exe +3 -0
  7. bin/llama-win-cpu-arm64.zip +3 -0
  8. bin/llama-win-vulkan-x64.zip +3 -0
  9. font/font-default.zip +3 -0
  10. font/font-ja.zip +3 -0
  11. font/font-ko.zip +3 -0
  12. font/font-tw.zip +3 -0
  13. font/font-zh.zip +3 -0
  14. llm/llm-qwen3-1.7b-q4.gguf +3 -0
  15. prompts.csv +3 -0
  16. stt/README.md +49 -0
  17. stt/punct-zh-en.onnx +3 -0
  18. stt/stt-paraformer-int8.zip +3 -0
  19. stt/stt-paraformer.zip +3 -0
  20. stt/stt-sensevoice.zip +3 -0
  21. stt/stt-whisper-base-int8-onnx.zip +3 -0
  22. stt/stt-whisper-base-onnx.zip +3 -0
  23. stt/stt-whisper-base.ggml +3 -0
  24. stt/stt-whisper-large-onnx.zip +3 -0
  25. stt/stt-whisper-large-v3-turbo.ggml +3 -0
  26. stt/stt-whisper-large-v3.ggml +3 -0
  27. stt/stt-whisper-medium-int8-onnx.zip +3 -0
  28. stt/stt-whisper-medium-onnx.zip +3 -0
  29. stt/stt-whisper-medium.ggml +3 -0
  30. stt/stt-whisper-small-int8-onnx.zip +3 -0
  31. stt/stt-whisper-small-onnx.zip +3 -0
  32. stt/stt-whisper-small.ggml +3 -0
  33. stt/stt-whisper-tiny-int8-onnx.zip +3 -0
  34. stt/stt-whisper-tiny-onnx.zip +3 -0
  35. stt/stt-whisper-tiny.ggml +3 -0
  36. stt/stt-zipformer-en.zip +3 -0
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README.md ADDED
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+ ---
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+ license: mit
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+ tags:
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+ - ChatGPT
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+ task_categories:
6
+ - question-answering
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+ size_categories:
8
+ - 100K<n<1M
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+ ---
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+
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+ # 🧠 Awesome ChatGPT Prompts
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+
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+ This is a Dataset Repository of **Awesome ChatGPT Prompts**
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+
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+ **[View All Prompts on GitHub](https://github.com/f/awesome-chatgpt-prompts)**
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+ ---
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+ license: mit
3
+ pipeline_tag: automatic-speech-recognition
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+ ---
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+
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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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+
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+ [Available models](https://huggingface.co/ggerganov/whisper.cpp/tree/main)
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+
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+ | Model | Disk | SHA |
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+ | ------------------- | ------- | ------------------------------------------ |
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+ | tiny | 75 MiB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
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+ | tiny-q5_1 | 31 MiB | `2827a03e495b1ed3048ef28a6a4620537db4ee51` |
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+ | tiny-q8_0 | 42 MiB | `19e8118f6652a650569f5a949d962154e01571d9` |
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+ | tiny.en | 75 MiB | `c78c86eb1a8faa21b369bcd33207cc90d64ae9df` |
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+ | tiny.en-q5_1 | 31 MiB | `3fb92ec865cbbc769f08137f22470d6b66e071b6` |
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+ | 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` |
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+ | small-q5_1 | 181 MiB | `6fe57ddcfdd1c6b07cdcc73aaf620810ce5fc771` |
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+ | small-q8_0 | 252 MiB | `bcad8a2083f4e53d648d586b7dbc0cd673d8afad` |
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+ | small.en | 466 MiB | `db8a495a91d927739e50b3fc1cc4c6b8f6c2d022` |
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+ | small.en-q5_1 | 181 MiB | `20f54878d608f94e4a8ee3ae56016571d47cba34` |
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+ | small.en-q8_0 | 252 MiB | `9d75ff4ccfa0a8217870d7405cf8cef0a5579852` |
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+ | 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
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