Spaces:
Running
title: README
emoji: 🧇
colorFrom: yellow
colorTo: green
sdk: static
pinned: false
Fritter
Speech models for English dictation, fine-tuned on one Irish-English speaker's recorded voice: AI model names, Linux and developer vocabulary, brand names, acronyms, and numbers written as digits.
Try it: Fritter Demo runs Fritter in your browser, on your own device.
Putting Fritter in an app? Fritter Models lists every build with direct download links, the licence (free for non-commercial use with attribution) and the attribution line to use.
Models
| Model | What it is |
|---|---|
| Fritter | Fine-tune of NVIDIA Parakeet TDT 0.6B v2 for dictation. NeMo, GGUF, ONNX and sherpa-onnx builds |
| Fritter Nemotron 0.6B | The streaming version, for live captions and push-to-talk. NeMo and GGUF |
| Fritter Nemotron 0.6B (sherpa-onnx int8) | Streaming sherpa-onnx build, 560 ms chunks |
| Fritter TTS | A text-to-speech voice trained on the same recordings, built on Qwen3-TTS |
| Fritter TTS GGUF | GGUF builds of Fritter TTS |
Spaces and data
Collections: Fritter-ASR-Parakeet, Fritter-ASR-Nemotron, Fritter TTS.
- Fritter Demo: speech recognition in the browser
- Fritter Models: downloads, licence and attribution for every model
- Fritter TTS Samples: listen to the TTS voice
- Tracker: releases, data growth and a dated log, on GitHub
- Training Sources: the datasets each release trained on
History
Fritter started as a proof of concept on Daniel Rosehill's personal account (Fritter v1.0 to v1.3, Fritter Nemotron v1.0, Fritter TTS v1). It moved to this organisation in November 2026 so the models, the demo and the data index sit in one place and are easier to maintain. New releases are published here; the original repositories stay online so existing links keep working.
Licence
The weights are released under CC-BY-NC-4.0: free for non-commercial use with attribution. Base models keep their own licences (NVIDIA Parakeet TDT 0.6B v2, NVIDIA Nemotron streaming, Qwen3-TTS). Not affiliated with NVIDIA or Qwen.