whisper : add large-v3-turbo (#2440)

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Georgi Gerganov 2024-10-01 15:57:06 +03:00 committed by GitHub
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16 changed files with 39 additions and 31 deletions

1
.gitignore vendored
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@ -3,6 +3,7 @@
.cache/
.coreml/
.test/
.venv/
.vs/
.vscode/
.DS_Store

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@ -1145,8 +1145,9 @@ samples:
.PHONY: large-v1
.PHONY: large-v2
.PHONY: large-v3
.PHONY: large-v3-turbo
tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3: main
tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3 large-v3-turbo: main
bash ./models/download-ggml-model.sh $@
@echo ""
@echo "==============================================="

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@ -236,6 +236,7 @@ make medium
make large-v1
make large-v2
make large-v3
make large-v3-turbo
```
## Memory usage

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@ -24,7 +24,7 @@ const (
var (
// The models which will be downloaded, if no model is specified as an argument
modelNames = []string{"ggml-tiny.en", "ggml-tiny", "ggml-base.en", "ggml-base", "ggml-small.en", "ggml-small", "ggml-medium.en", "ggml-medium", "ggml-large-v1", "ggml-large-v2", "ggml-large-v3"}
modelNames = []string{"ggml-tiny.en", "ggml-tiny", "ggml-base.en", "ggml-base", "ggml-small.en", "ggml-small", "ggml-medium.en", "ggml-medium", "ggml-large-v1", "ggml-large-v2", "ggml-large-v3", "large-v3-turbo"}
)
var (

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@ -48,7 +48,7 @@ if [ -n "$3" ]; then
fi
# Whisper models
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" )
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" "large-v3-turbo" )
# list available models
function list_models {

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@ -21,7 +21,7 @@ help()
echo "Usage: ./twitch.sh -s [step] -m [model] -t [threads] [url]"
echo "options:"
echo "-s Step in seconds (default is $step)."
echo "-m Choose model, options are: 'tiny.en' 'tiny' 'base.en' 'base' 'small.en' 'small' 'medium.en' 'medium' 'large-v1' 'large-v2' 'large-v3' (default is '$model')."
echo "-m Choose model, options are: 'tiny.en' 'tiny' 'base.en' 'base' 'small.en' 'small' 'medium.en' 'medium' 'large-v1' 'large-v2' 'large-v3' 'large-v3-turbo' (default is '$model')."
echo "-t Number of threads to use."
echo "-h Print this help page."
echo

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@ -42,22 +42,24 @@ rmdir models/whisper-medium
## Available models
| Model | Disk | SHA |
| ------------- | ------- | ------------------------------------------ |
| tiny | 75 MiB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
| tiny.en | 75 MiB | `c78c86eb1a8faa21b369bcd33207cc90d64ae9df` |
| base | 142 MiB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
| base.en | 142 MiB | `137c40403d78fd54d454da0f9bd998f78703390c` |
| small | 466 MiB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
| small.en | 466 MiB | `db8a495a91d927739e50b3fc1cc4c6b8f6c2d022` |
| small.en-tdrz | 465 MiB | `b6c6e7e89af1a35c08e6de56b66ca6a02a2fdfa1` |
| medium | 1.5 GiB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
| medium.en | 1.5 GiB | `8c30f0e44ce9560643ebd10bbe50cd20eafd3723` |
| large-v1 | 2.9 GiB | `b1caaf735c4cc1429223d5a74f0f4d0b9b59a299` |
| large-v2 | 2.9 GiB | `0f4c8e34f21cf1a914c59d8b3ce882345ad349d6` |
| large-v2-q5_0 | 1.1 GiB | `00e39f2196344e901b3a2bd5814807a769bd1630` |
| large-v3 | 2.9 GiB | `ad82bf6a9043ceed055076d0fd39f5f186ff8062` |
| large-v3-q5_0 | 1.1 GiB | `e6e2ed78495d403bef4b7cff42ef4aaadcfea8de` |
| Model | Disk | SHA |
| ------------------- | ------- | ------------------------------------------ |
| tiny | 75 MiB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
| tiny.en | 75 MiB | `c78c86eb1a8faa21b369bcd33207cc90d64ae9df` |
| base | 142 MiB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
| base.en | 142 MiB | `137c40403d78fd54d454da0f9bd998f78703390c` |
| small | 466 MiB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
| small.en | 466 MiB | `db8a495a91d927739e50b3fc1cc4c6b8f6c2d022` |
| small.en-tdrz | 465 MiB | `b6c6e7e89af1a35c08e6de56b66ca6a02a2fdfa1` |
| medium | 1.5 GiB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
| medium.en | 1.5 GiB | `8c30f0e44ce9560643ebd10bbe50cd20eafd3723` |
| large-v1 | 2.9 GiB | `b1caaf735c4cc1429223d5a74f0f4d0b9b59a299` |
| large-v2 | 2.9 GiB | `0f4c8e34f21cf1a914c59d8b3ce882345ad349d6` |
| large-v2-q5_0 | 1.1 GiB | `00e39f2196344e901b3a2bd5814807a769bd1630` |
| large-v3 | 2.9 GiB | `ad82bf6a9043ceed055076d0fd39f5f186ff8062` |
| large-v3-q5_0 | 1.1 GiB | `e6e2ed78495d403bef4b7cff42ef4aaadcfea8de` |
| large-v3-turbo | 1.5 GiB | `4af2b29d7ec73d781377bfd1758ca957a807e941` |
| large-v3-turbo-q5_0 | 547 MiB | `e050f7970618a659205450ad97eb95a18d69c9ee` |
Models are multilingual unless the model name includes `.en`. Models ending in `-q5_0` are [quantized](../README.md#quantization). Models ending in `-tdrz` support local diarization (marking of speaker turns) using [tinydiarize](https://github.com/akashmjn/tinydiarize). More information about models is available [upstream (openai/whisper)](https://github.com/openai/whisper#available-models-and-languages). The list above is a subset of the models supported by the [download-ggml-model.sh](download-ggml-model.sh) script, but many more are available at https://huggingface.co/ggerganov/whisper.cpp/tree/main and elsewhere.

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@ -78,14 +78,14 @@ def convert_hf_whisper(hf_model_name_or_path: str, whisper_state_path: str):
# Ported from models/convert-whisper-to-coreml.py
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--model-name", type=str, help="name of model to convert (e.g. tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large-v1, large-v2, large-v3)", required=True)
parser.add_argument("--model-name", type=str, help="name of model to convert (e.g. tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large-v1, large-v2, large-v3, large-v3-turbo)", required=True)
parser.add_argument("--model-path", type=str, help="path to the model (e.g. if published on HuggingFace: Oblivion208/whisper-tiny-cantonese)", required=True)
parser.add_argument("--encoder-only", type=bool, help="only convert encoder", default=False)
parser.add_argument("--quantize", type=bool, help="quantize weights to F16", default=False)
parser.add_argument("--optimize-ane", type=bool, help="optimize for ANE execution (currently broken)", default=False)
args = parser.parse_args()
if args.model_name not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large-v1", "large-v2", "large-v3"]:
if args.model_name not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large-v1", "large-v2", "large-v3", "large-v3-turbo"]:
raise ValueError("Invalid model name")
pt_target_path = f"models/hf-{args.model_name}.pt"

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@ -283,13 +283,13 @@ def convert_decoder(hparams, model, quantize=False):
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--model", type=str, help="model to convert (e.g. tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large-v1, large-v2, large-v3)", required=True)
parser.add_argument("--model", type=str, help="model to convert (e.g. tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large-v1, large-v2, large-v3, large-v3-turbo)", required=True)
parser.add_argument("--encoder-only", type=bool, help="only convert encoder", default=False)
parser.add_argument("--quantize", type=bool, help="quantize weights to F16", default=False)
parser.add_argument("--optimize-ane", type=bool, help="optimize for ANE execution (currently broken)", default=False)
args = parser.parse_args()
if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "small.en-tdrz", "medium", "medium.en", "large-v1", "large-v2", "large-v3"]:
if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "small.en-tdrz", "medium", "medium.en", "large-v1", "large-v2", "large-v3", "large-v3-turbo"]:
raise ValueError("Invalid model name")
whisper = load_model(args.model).cpu()

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@ -45,10 +45,10 @@ def convert_encoder(hparams, encoder, mname):
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--model", type=str, help="model to convert (e.g. tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large-v1, large-v2, large-v3)", required=True)
parser.add_argument("--model", type=str, help="model to convert (e.g. tiny, tiny.en, base, base.en, small, small.en, medium, medium.en, large-v1, large-v2, large-v3, large-v3-turbo)", required=True)
args = parser.parse_args()
if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large-v1", "large-v2", "large-v3"]:
if args.model not in ["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large-v1", "large-v2", "large-v3", "large-v3-turbo"]:
raise ValueError("Invalid model name")
whisper = load_model(args.model).cpu()

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@ -22,7 +22,7 @@ get_script_path() {
models_path="$(get_script_path)"
# Whisper models
models="tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3"
models="tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3 large-v3-turbo"
# list available models
list_models() {

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@ -8,7 +8,7 @@ popd
set argc=0
for %%x in (%*) do set /A argc+=1
set models=tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3
set models=tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3 large-v3-turbo
if %argc% neq 1 (
echo.

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@ -46,7 +46,9 @@ large-v1
large-v2
large-v2-q5_0
large-v3
large-v3-q5_0"
large-v3-q5_0
large-v3-turbo
large-v3-turbo-q5_0"
# list available models
list_models() {

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@ -64,6 +64,7 @@ models = [
"ggml-large-v1.bin",
"ggml-large-v2.bin",
"ggml-large-v3.bin",
"ggml-large-v3-turbo.bin",
]

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@ -1,6 +1,6 @@
#!/bin/bash
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" )
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" "large-v3-turbo" )
for model in "${models[@]}"; do
python3 models/convert-pt-to-ggml.py ~/.cache/whisper/$model.pt ../whisper models/

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@ -19,7 +19,7 @@
cd `dirname $0`
# Whisper models
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" )
models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" "large-v3-turbo" )
# list available models
function list_models {