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Tyler Hilbert

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AI & ML interests

Performance Testing

Recent Activity

new activity about 9 hours ago
Qwen/Qwen3-235B-A22B-Instruct-2507:Qwen 3 for performance testing?
liked a dataset about 10 hours ago
siro1/kernelbook-kimi_k2_thinking-synthetic-tasks
replied to Javedalam's post 1 day ago
KittenTTS Nano — Tiny, Expressive, Practical KittenTTS Nano is a lightweight, CPU-only text-to-speech model designed to prove that natural, expressive voices don’t require massive cloud stacks or GPUs. At roughly ~15M parameters, it runs fast on modest hardware, supports multiple expressive voices, and exposes simple controls for pacing and tone. This makes it ideal for edge devices, demos, and anyone who wants full control over TTS without latency, lock-in, or infrastructure overhead. Try it here https://huggingface.co/spaces/Javedalam/KittenTTS The model page https://huggingface.co/KittenML/kitten-tts-nano-0.2
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