Inflammable1230

21 418

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Edge AI enthusiast, 16GB CPU, Falcon H1 90M = favorite SLM.

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liked a model about 15 hours ago

thinkingmachines/Inkling-Small

liked a model about 15 hours ago

thinkingmachines/Inkling-Small-NVFP4

liked a model 4 days ago

moonshotai/Kimi-K3

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liked 2 models about 15 hours ago

thinkingmachines/Inkling-Small

Image-Text-to-Text • 266B • Updated about 10 hours ago • 2.97k • 168

thinkingmachines/Inkling-Small-NVFP4

Image-Text-to-Text • 156B • Updated about 16 hours ago • 11.1k • 40

liked a model 4 days ago

moonshotai/Kimi-K3

Image-Text-to-Text • 2.8T • Updated 4 days ago • 493k • • 9.13k

liked a Space 4 days ago

Inflect v2 — Tiny Local TTS

🔊

Run complete 3.96M and 9.36M text-to-waveform models live.

reacted to Nymbo's post with 🚀🔥 5 days ago

Post

5370

Introducing Inflect-v2, two exceptionally small, open-weight English TTS models at just 3.9M and 9.3M parameters. Both generate speech multiple times faster than real-time on CPU. Despite their size, Inflect-v2 delivers quality that is competitive with much larger lightweight TTS systems, including KittenTTS, Piper, and Supertonic-3.

CPU, CUDA, PyTorch, and ONNX are supported. Apache 2.0.

See it for yourselves:
owensong/Inflect-Micro-v2
owensong/Inflect-Nano-v2

Try the Demos:
Nymbo/Inflect-TTS (unlimited CPU usage)
owensong/Inflect-v2 (ultra-fast ZeroGPU usage)