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22.1
TFLOPS
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Carlo Moro
cnmoro
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NoesisLab/Geilim-1B-Instruct
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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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SemanticCompression
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Compress text while preserving meaning
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STRIVE Reranker
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STRIVE: Semantic Tokenized Ranking via Vectorization & Embed