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Explore This Speech Model Went From 1.2GB to 178MB (Parakeet Redux) with 98,776 views, 1,309 likes, and 66 comments. Experience the impact of this video content that has captured audience attention.

Parakeet Redux is a new 178MB local speech-to-text model from Moondream, built from NVIDIA’s Parakeet 0.6B v3 using 1.58-bit ternary weights to shrink the model to roughly one-seventh of its original size. In this video, I test how Parakeet Redux performs on clean speech, multilingual audio, word-level timestamps, then compare it with the original Parakeet, parakeet.cpp, parakeet-mlx, and Whisper. 🔗 Relevant Links Moondream Release - https://moondream.ai/blog/introducing-parakeet-redux-and-ultra Parakeet Redux HuggingFace - https://huggingface.co/moondream/parakeet-redux ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter: https://twitter.com/betterstackhq Instagram: https://www.instagram.com/betterstackhq/ TikTok: https://www.tiktok.com/@betterstack LinkedIn: https://www.linkedin.com/company/betterstack 📌 Chapters: 0:00 Parakeet Redux: 178MB Speech-to-Text Model 0:40 How 1.58-Bit Ternary Weights Keep Accuracy 1:09 Why a 178MB Speech Model Matters 2:05 Running Parakeet Redux Locally 2:45 CPU vs GPU Speed Benchmarks 3:25 Parakeet Redux vs Parakeet MLX and Whisper 4:07 Timestamps, Audio Formats, and Live Streaming 4:47 Installation and Mac Setup 5:23 Why Local Speech-to-Text Still Matters 5:58 The Photon Runtime and Licensing Catch 6:40 Where Parakeet Redux Loses Accuracy 7:08 Who Should Actually Use Parakeet Redux? 7:42 The Bigger Problem With Open AI Models

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