Eckermann models

The model files that the Eckermann dictation app downloads on first run. The app pins each file by commit and SHA-256.

File	What it is	Source	License
ggml-edda-v0.2-q8_0.bin	Edda v0.2 Danish speech recognition, converted to GGML and quantized to q8_0	danish-foundation-models/edda-v0.2 at 698f8d0, by the Alexandra Institute in the CoRal project. Based on openai/whisper-large-v3-turbo (MIT)	Apache 2.0
ggml-silero-v6.2.0.bin	Silero VAD v6.2.0, unchanged	ggml-org/whisper-vad, from snakers4/silero-vad	MIT
punct-da/	Danish punctuation and casing restoration, weights as f16 safetensors	Alvenir/bert-punct-restoration-da at 922d302. Based on Maltehb/danish-bert-botxo by BotXO (CC BY 4.0)	Apache 2.0
ggml-large-v3-turbo-q8_0.bin	Whisper large-v3-turbo for English, GGML q8_0, unchanged	ggerganov/whisper.cpp at 5359861, from openai/whisper-large-v3-turbo	MIT
punct-en/	English punctuation and casing restoration, weights as f16 safetensors	felflare/bert-restore-punctuation at 954108a. Based on google-bert/bert-base-uncased (Apache 2.0)	MIT

How the files were made

• Edda: models/convert-h5-to-ggml.py from whisper.cpp at 231638a, then whisper-quantize with q8_0.
• punct-da and punct-en: bench/punct_model.py in the Eckermann repo.

The licenses of the original models apply to these copies.