PenraApp/penra-models

Penra offline models

The model files the Penra note app downloads to read handwriting, write speech and search notes on the phone, with no server. They are repackaged or converted from the open models below; the app picks one reading bundle by the phone's memory.

File	What it is	Made from	License
penra-ocr-1120.litertlm	Handwriting reading and speech, phones with 8 GB memory	Gemma 4 E4B, LiteRT-LM bundle with a 1120-token vision signature, trimmed vocabulary	Apache 2.0 (Gemma 4)
penra-ocr-560.litertlm	The same, faster on phones with a slow GPU (560-token vision signature, MTP drafter for speculative decoding)	Gemma 4 E4B	Apache 2.0 (Gemma 4)
penra-e2b-1120.litertlm	The same for phones with less memory	Gemma 4 E2B	Apache 2.0 (Gemma 4)
embeddinggemma-2-text-270m.litertlm	Finding notes by meaning	EmbeddingGemma 2	Apache 2.0
uvdoc.onnx	Flattening a photographed page before reading	UVDoc (PaddlePaddle)	Apache 2.0
nemotron-asr-step-dwi8.tflite	Live text while recording: streaming encoder step, int8	NVIDIA Nemotron 3.5 ASR Streaming 0.6B	OpenMDW 1.1
nemotron-decoder.tflite	Live text while recording: RNN-T prediction network and joint	NVIDIA Nemotron 3.5 ASR Streaming 0.6B	OpenMDW 1.1
nemotron-3-diarization-q8_0.gguf	Who spoke when (planned)	NVIDIA Nemotron 3 Diarization	OpenMDW 1.1
wordlists/<lang>/<lang>_50k.txt	Word lists for the reading check	FrequencyWords (Hermit Dave), commit 525f9b5	CC BY-SA 4.0

manifest.json lists every file with its size and SHA-256; the app checks both before using a file.

Licenses

• Gemma 4 and EmbeddingGemma 2: Apache License 2.0 (Gemma 4 license).
• NVIDIA Nemotron 3.5 ASR Streaming and Nemotron 3 Diarization: OpenMDW License 1.1.
• UVDoc: Apache License 2.0.
• FrequencyWords word lists: CC BY-SA 4.0, by Hermit Dave.

These files are modified forms of the original models (format conversion, quantization, repackaging); they are provided as is, without warranty.