Llasa: Llama-Based Speech Synthesis

Odd that the page doesn&#x27;t seem to link to either,<p>paper: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2502.04128" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2502.04128</a><p>github: <a href="https:&#x2F;&#x2F;github.com&#x2F;zhenye234&#x2F;LLaSA_training">https:&#x2F;&#x2F;github.com&#x2F;zhenye234&#x2F;LLaSA_training</a>

LLaSA is a simple framework for speech synthesis that employs a single-layer vector quantizer (VQ) codec and a single Transformer architecture to fully align with standard LLMs such as LLaMA.

&gt; employs a single-layer vector quantizer (VQ) codec and a single Transformer architecture to fully align<p>I really wish when new models were released that they would draw a diagram of all the layers and the tensor input and output sizes at each layer, with zoom in&#x2F;out capabilities if needed using D3.js or whatever visualization framework if needed. Every single layer should be on there with its input and output sizes.<p>These one-sentence descriptions, and approximate block diagrams with arrows pointing at each other are never enough to understand how something is actually implemented.

I can&#x27;t wait see this integrated into Open WebUI! These sound amazing.

the long &#x27;uuuuhhhhhhh&#x27; from some of the lesser models is killing me.