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[Research Paper Explainer]F5TTS & Zamba2 7B - 2 New Stunning Small Size AI Models You Can Run Locally
🕑 Added 2024-10-16 16:27:39 +0000 UTC
Video : https://youtu.be/WnVQattzgBA
In today’s video, we uncover the cutting-edge world of F5-TTS, or "Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching." This state-of-the-art, non-autoregressive text-to-speech system is pushing the boundaries of what’s possible in AI-generated speech. We break down how it leverages Diffusion Transformers and flow matching to generate highly natural, efficient, and versatile speech—all without the complex components of traditional TTS models.
We also explore the innovative training and inference techniques behind F5-TTS, its impressive zero-shot capabilities, and how it can seamlessly switch languages and control speech speed.
F5-TTS and E2-TTS
https://github.com/SWivid/F5-TTS
https://swivid.github.io/F5-TTS/
https://huggingface.co/SWivid/F5-TTS
Second, we also explore Zamba, a groundbreaking 7-billion-parameter hybrid model that blends state space models (SSMs) with transformer elements to challenge the dominance of pure transformer-based models. We dive into Zamba’s unique architecture, its incredible training on 1 trillion tokens, and how it competes with the leading AI models in terms of speed, memory efficiency, and linguistic performance. Whether you’re an AI enthusiast or researcher, this deep dive into Zamba reveals its potential to reshape the landscape of language models.
Zamba 2 7B
https://huggingface.co/Zyphra/Zamba2-7B
https://arxiv.org/abs/2405.16712
https://github.com/state-spaces/mamba
With open-source code available, this model is set to empower AI developers everywhere.
