gigaam-v3-e2e-rnnt-gguf is an open-source Russian ASR model using RNN-T decoding, distributed in GGUF format for local inference. It is suitable for developers and researchers needing efficient offline speech-to-text solutions.
Gigaam V3 E2e Rnnt sits in PulseGate's Voice, TTS & speech category. It focuses on providing efficient offline Russian speech-to-text transcription using RNN-T decoding for developers. Gigaam V3 E2e Rnnt is an open-source project aimed at speech AI developers and researchers. The project is open source (MIT). It runs on the web and the command line, and it can be self-hosted.
It is developed by Memoravox, and the product first shipped in 2026. The project is developed in the open on GitHub with 176 stars and 458 commits in the last 90 days. Across PulseGate's embedding index, Gigaam V3 E2e Rnnt has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are Offline ASR, russian language, and RNN-T decoding.
Latest indexed changes and source events
memoravox/gigaam-v3-e2e-rnnt-gguf discovered by the PulseGate indexer
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