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
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)
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
In order to have an objective comparison of the performance of the inference across different system configurations,