<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ChatRWKV on SoloSoft</title><link>https://www.solosoft.dev/tags/chatrwkv/</link><description>Recent content in ChatRWKV on SoloSoft</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.solosoft.dev/tags/chatrwkv/index.xml" rel="self" type="application/rss+xml"/><item><title>ChatRWKV: The Open-Source 100% RNN Language Model Challenging Transformers</title><link>https://www.solosoft.dev/post/chatrwkv-rnn-language-model-2026/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.solosoft.dev/post/chatrwkv-rnn-language-model-2026/</guid><description>&lt;p&gt;For years, the AI community operated under a widely accepted assumption: the transformer architecture, introduced in the landmark &amp;ldquo;Attention Is All You Need&amp;rdquo; paper, was the only viable path to building large language models. Recurrent neural networks (RNNs) were considered obsolete &amp;ndash; too slow to train, too prone to vanishing gradients, incapable of matching transformer quality at scale. &lt;strong&gt;RWKV&lt;/strong&gt; shatters that assumption.&lt;/p&gt;
&lt;p&gt;Created by developer Bo Peng (known as BlinkDL), RWKV is a 100% RNN architecture that achieves transformer-comparable quality while delivering dramatically faster inference and lower memory consumption. ChatRWKV is the chat-oriented interface to this model, providing an open-source alternative to ChatGPT that can run on consumer hardware.&lt;/p&gt;</description></item></channel></rss>