Tyler Hilbert's picture

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Tyler Hilbert

TylerHilbert

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Tyler-Hilbert

AI & ML interests

Performance Testing

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new activity about 7 hours ago

Qwen/Qwen3-235B-A22B-Instruct-2507:Qwen 3 for performance testing?

liked a dataset about 7 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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