Underdog released Bark 3.0, and it's only a 163MB download. Runs locally w/Pytorch+CUDA or MLX
On their Open ASR Leaderboard evaluation, Bark wins
🐶 Bark 3.0 → 4.94% WER → 163MB
🟢 NVIDIA Parakeet → 4.94% → 2.51GB
🌀 Whisper large-v3 → 6.04% → 9.26GB
So Bark matches Parakeet's average accuracy while being 👉 ~15× smaller
And beats Whisper while being 👉 ~57× smaller
On recorded meetings check out these stats
Bark → 7.82% WER
Parakeet → 9.42%
Whisper large-v3 → 13.63%
And this isn't CUDA-server-only.
🏠 fully local
📱 phone-class
🍎 MLX + Core ML
🧠 Apple GPU / ANE
🪟 CPU + CUDA paths
🔓 CC-BY-4.0
I've checked and no GGUF. It uses its own compressed Bark format plus MLX/Core ML/Transformers runtimes.
Bark 3.0 Plus is only 180MB and improves average WER to 4.76%.
⚠️ English only
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P.S.: yes I have some invites available as you can see in the screenshot.
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