🔄 In a Training Loop

Logicvex AI

MultivexAI

AI & ML interests

A machine learning collective focused on AGI. We believe Tiny Language Models are the future, so we build and share them—along with datasets—to support community progress. Not a company.

Recent Activity

reacted to Nymbo's post with 🔥 1 day ago

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: https://huggingface.co/owensong/Inflect-Micro-v2 https://huggingface.co/owensong/Inflect-Nano-v2 Try the Demos: https://huggingface.co/spaces/Nymbo/Inflect-TTS (unlimited CPU usage) https://huggingface.co/spaces/owensong/Inflect-v2 (ultra-fast ZeroGPU usage)

liked a model 3 days ago

microsoft/Mage-Flow

new activity 4 days ago

bench-labs/Members:Question

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Organizations

MultivexAI 's Spaces 2

RobustMNIST Demo

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Test RobustMNIST.

NumberAdder V0.1

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Add numbers together from 0 to around 100K with high acc.