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Open weightsNVIDIA/10 trustVerified
Parakeet-TDT 0.6B v2 logo

Parakeet-TDT 0.6B v2

600M-parameter open ASR that tops the HF Open ASR leaderboard.

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About

Parakeet-TDT 0.6B v2 is NVIDIA's open automatic speech recognition model, released in May 2025 under the commercially permissive CC-BY-4.0 license. The 600 million parameter model combines a FastConformer encoder with a TDT decoder and was trained on the Granary dataset of roughly 120,000 hours of English audio. It topped the Hugging Face Open ASR Leaderboard at release with a 6.05 percent average word error rate and a real-time factor above 3300, transcribing an hour of audio in about a second on NVIDIA GPUs.

The model outputs punctuation, capitalization, and word-level timestamps in a single pass over audio segments up to 24 minutes long. It deploys through the NeMo toolkit and runs on as little as 2GB of RAM, with a multilingual v3 successor covering 25 European languages released later.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

May 1, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

speech-recognitiontranscription-servicessubtitle-generation

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 115; Trending score 80/100 from researcher assessment.

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