metadata
license: other
license_name: mixed-apache-2.0-mit-and-openmdw-1.1
license_link: LICENSE
tags:
- penra
- litert
- on-device
- handwriting-recognition
- speech-recognition
Penra offline models
The model files the Penra note app downloads to read handwriting, write speech and search notes on the device, 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 |
whisper_tr_enc30_dwi4.tflite |
Speech to text, high accuracy (all 15 languages): audio encoder, 30-s window, int4 weights | OpenAI Whisper large-v3-turbo + Penra Turkish LoRA (merged) | MIT (Whisper) |
whisper_tr_dec30_kv_mixd.tflite |
The same: text decoder with KV cache, mixed precision | OpenAI Whisper large-v3-turbo + Penra Turkish LoRA (merged) | MIT (Whisper) |
whisper_tr_tokenizer.json |
The same: tokenizer | OpenAI Whisper large-v3-turbo | MIT (Whisper) |
eg2_tr_fc8.tflite |
Faster Turkish speech to text (Pro): EmbeddingGemma 2 encoder + CTC reader, int8 | EmbeddingGemma 2 | Apache 2.0 |
eg2_tr_3gram_spoken.bin, eg2_tr_unigrams.txt |
The same: spoken-Turkish 3-gram language model and its word list | Penra (own corpus) | 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.
- OpenAI Whisper large-v3-turbo: MIT License (model card).
- 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.