Bot Updating Documentation

docs/images/docker-faster-whisper.md

@@ -44,6 +44,7 @@ This image provides various versions that are available via tags. Please read th
 | :----: | :----: |--- |
 | latest | ✅ | Stable releases |
 | gpu | ✅ | Releases with Nvidia GPU support (amd64 only) |
+| gpu-legacy | ✅ | Legacy releases with Nvidia GPU support for pre-Turing cards (amd64 only) |
 
 ## Application Setup
 
@@ -78,6 +79,7 @@ services:
       - PGID=1000
       - TZ=Etc/UTC
       - WHISPER_MODEL=tiny-int8
+      - LOCAL_ONLY= #optional
       - WHISPER_BEAM=1 #optional
       - WHISPER_LANG=en #optional
     volumes:
@@ -96,6 +98,7 @@ docker run -d \
   -e PGID=1000 \
   -e TZ=Etc/UTC \
   -e WHISPER_MODEL=tiny-int8 \
+  -e LOCAL_ONLY= `#optional` \
   -e WHISPER_BEAM=1 `#optional` \
   -e WHISPER_LANG=en `#optional` \
   -p 10300:10300 \
@@ -122,6 +125,7 @@ Containers are configured using parameters passed at runtime (such as those abov
 | `PGID=1000` | for GroupID - see below for explanation |
 | `TZ=Etc/UTC` | specify a timezone to use, see this [list](https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List). |
 | `WHISPER_MODEL=tiny-int8` | Whisper model that will be used for transcription. From [here](https://github.com/SYSTRAN/faster-whisper/blob/master/faster_whisper/utils.py#L12-L31), all with `-int8` compressed variants |
+| `LOCAL_ONLY=` | If set to `true`, or any other value, the container will not attempt to download models from HuggingFace and will only use locally-provided models. |
 | `WHISPER_BEAM=1` | Number of candidates to consider simultaneously during transcription. |
 | `WHISPER_LANG=en` | Language that you will speak to the add-on. |
 
@@ -346,6 +350,8 @@ To help with development, we generate this dependency graph.
 
 ## Versions
 
+* **20.08.25:** - Add gpu-legacy branch for pre-Turing cards.
+* **10.08.25:** - Add support for local-only mode.
 * **30.12.24:** - Add arm64 support for non-GPU builds.
 * **05.12.24:** - Build from Github releases rather than Pypi.
 * **18.07.24:** - Rebase to Ubuntu Noble.