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Georgi Gerganov
2022-10-28 22:09:40 +03:00
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@ -168,6 +168,16 @@ make medium
make large make large
``` ```
## Memory usage
| Model | Disk | Mem | SHA |
| --- | --- | --- | --- |
| tiny | 75 MB | ~280 MB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
| base | 142 MB | ~430 MB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
| small | 466 MB | ~1.0 GB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
| medium | 1.5 GB | ~2.6 GB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
| large | 2.9 GB | ~4.7 GB | `b1caaf735c4cc1429223d5a74f0f4d0b9b59a299` |
## Another example ## Another example
Here is another example of transcribing a [3:24 min speech](https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg) Here is another example of transcribing a [3:24 min speech](https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg)
@ -290,16 +300,6 @@ the Accelerate framework utilizes the special-purpose AMX coprocessor available
In the future, `whisper.cpp` will support more sampling strategies. In the future, `whisper.cpp` will support more sampling strategies.
## Memory usage
| Model | Disk | Mem |
| --- | --- | --- |
| tiny | 75 MB | ~280 MB |
| base | 142 MB | ~430 MB |
| small | 466 MB | ~1.0 GB |
| medium | 1.5 GB | ~2.6 GB |
| large | 2.9 GB | ~4.7 GB |
## Benchmarks ## Benchmarks
In order to have an objective comparison of the performance of the inference across different system configurations, In order to have an objective comparison of the performance of the inference across different system configurations,