Go2 dock models
Estonian speech models that Meridein's Unitree Go2 EDU docks run: the voice (Pocket TTS) and speech recognition (Whisper). Both are derived from public models, converted for the dock's Jetson. A dock downloads them at a pinned commit and checks each file's sha256 before using it.
Files are never overwritten here. A new version gets a new file name, so a release that pins a commit and a sha256 keeps working.
| file | what | size | sha256 |
|---|---|---|---|
pocket-cpp-et.tar.gz |
Pocket TTS, Estonian, as ONNX for PocketTTS.cpp (one folder, pocket-cpp-et/) |
436 064 256 | 1cf3ae8b3eab0724a023a8e5852272e0a870fccbd5fe7bc61a48940a680cd3ca |
ggml-whisper-large-v3-turbo-et-verbatim-2604-q5_0.bin |
Whisper large-v3-turbo, Estonian, q5_0 for whisper.cpp | 574 041 195 | ec401581b6ac1788b4eff8b92c5257a65bf24b50be1e488387fd9760166a1ad7 |
pocket-cpp-et.tar.gz: Pocket TTS, Estonian (ONNX)
- Run by PocketTTS.cpp at
e801e7d, with--precision int8. The int8 set is what runs; the fp32 files are kept beside it. - Made from cbentes/pocket-tts-estonian:
the weights and tokenizer at
e8d2fd9cc01ae6e4e505269adcc1d9bdaecbea0f, the config and the six voice clips atb37e49dd65514fb79a05cff2ace696e24af15d66. Exported with pocket-tts 2.1.0 and PocketTTS.cpp'sexport_onnx.pyate801e7d; the beginning-of-sequence before the voice is inmimi_encoder.onnx.export_info.jsoninside records the same. - Licence: CC BY-SA 4.0, as the weights it is made from, which were trained on the TalTech Estonian Speech Dataset 1.0. Credit: cbentes/pocket-tts-estonian and TalTech. Changes: converted to ONNX and quantised to int8. Share-alike: this derivative is under the same licence.
ggml-whisper-large-v3-turbo-et-verbatim-2604-q5_0.bin: Whisper, Estonian
- Run by
whisper-server(whisper.cpp), languageet. - Made from TalTechNLP/whisper-large-v3-turbo-et-verbatim-2604,
its ggml model (
ggml/ggml-model.bin, sha2564e231f931f029850d7ca497efe4223f85c495a27d986d955f9a577ac1cd02edb), quantised toq5_0with whisper.cpp's quantize tool (whisper.cpp60c0be6). The quantised model needs about 1 GB less memory. - Licence: that of TalTechNLP's model, which this file is derived from.
See their model card; credit: TalTech (Tallinn University of Technology).
The repository's
cc-by-sa-4.0tag is the Pocket model's.
Checking a download
sha256sum -c SHA256SUMS