<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[I tried out the Gemma AI models from Google, running locally on my AMD APU (Ryzen 7 Pro 7840U with Radeon 780M) and asked it some questions about ZFS send &#x2F; receive.]]></title><description><![CDATA[<p>I tried out the Gemma AI models from Google, running locally on my AMD APU (Ryzen 7 Pro 7840U with Radeon 780M) and asked it some questions about ZFS send / receive.</p><p>gemma-4-26B-A4B-Q4_K_M:<br />14.29 tok/sec . The information, it generated, was factually correct and well laid out. Not the fasted, but surprisingly good.</p><p>gemma-4-E4B-Q4-K_M:<br />26 tok/sec. The information was completely wrong BS with made up parameters. The presentation was confident and well laid out. But it generated it quickly <img src="https://board.circlewithadot.net/assets/plugins/nodebb-plugin-emoji/emoji/android/1f602.png?v=28325c671da" class="not-responsive emoji emoji-android emoji--joy" style="height:23px;width:auto;vertical-align:middle" title="😂" alt="😂" /> <br />Bottom line: confidently incorrect at high speeds.</p><p><a href="https://burningboard.net/tags/ai" rel="tag">#<span>ai</span></a> <a href="https://burningboard.net/tags/gemma" rel="tag">#<span>gemma</span></a> <a href="https://burningboard.net/tags/lmstudio" rel="tag">#<span>lmstudio</span></a> <a href="https://burningboard.net/tags/llm" rel="tag">#<span>llm</span></a> <a href="https://burningboard.net/tags/generativeAI" rel="tag">#<span>generativeAI</span></a> <a href="https://burningboard.net/tags/amd" rel="tag">#<span>amd</span></a> <a href="https://burningboard.net/tags/radeon" rel="tag">#<span>radeon</span></a></p>]]></description><link>https://board.circlewithadot.net/topic/d21af709-c1a0-4c0c-98ce-18d2e2f133bd/i-tried-out-the-gemma-ai-models-from-google-running-locally-on-my-amd-apu-ryzen-7-pro-7840u-with-radeon-780m-and-asked-it-some-questions-about-zfs-send-receive.</link><generator>RSS for Node</generator><lastBuildDate>Thu, 16 Apr 2026 21:41:54 GMT</lastBuildDate><atom:link href="https://board.circlewithadot.net/topic/d21af709-c1a0-4c0c-98ce-18d2e2f133bd.rss" rel="self" type="application/rss+xml"/><pubDate>Sat, 11 Apr 2026 16:36:32 GMT</pubDate><ttl>60</ttl><item><title><![CDATA[Reply to I tried out the Gemma AI models from Google, running locally on my AMD APU (Ryzen 7 Pro 7840U with Radeon 780M) and asked it some questions about ZFS send &#x2F; receive. on Sun, 12 Apr 2026 13:15:42 GMT]]></title><description><![CDATA[<p><span><a href="/user/larvitz%40burningboard.net">@<span>Larvitz</span></a></span> </p><p>I'm currently testing whether I can build a simple Mastodon CLI tool – with Gemma4 for spell checking. <img src="https://board.circlewithadot.net/assets/plugins/nodebb-plugin-emoji/emoji/android/1f916.png?v=28325c671da" class="not-responsive emoji emoji-android emoji--robot_face" style="height:23px;width:auto;vertical-align:middle" title="🤖" alt="🤖" /></p>]]></description><link>https://board.circlewithadot.net/post/https://burningboard.net/users/tux/statuses/116391919107311996</link><guid isPermaLink="true">https://board.circlewithadot.net/post/https://burningboard.net/users/tux/statuses/116391919107311996</guid><dc:creator><![CDATA[tux@burningboard.net]]></dc:creator><pubDate>Sun, 12 Apr 2026 13:15:42 GMT</pubDate></item><item><title><![CDATA[Reply to I tried out the Gemma AI models from Google, running locally on my AMD APU (Ryzen 7 Pro 7840U with Radeon 780M) and asked it some questions about ZFS send &#x2F; receive. on Sun, 12 Apr 2026 07:00:39 GMT]]></title><description><![CDATA[<p><span><a href="/user/larvitz%40burningboard.net">@<span>Larvitz</span></a></span> </p><p>You can now run this on your phone too:</p><p><div class="card col-md-9 col-lg-6 position-relative link-preview p-0">



<a href="https://the-decoder.com/googles-gemma-4-puts-free-agentic-ai-on-your-phone-and-no-data-ever-leaves-the-device/" title="Google's Gemma 4 puts free agentic AI on your phone and no data ever leaves the device">
<img src="https://the-decoder.com/wp-content/uploads/2026/04/google-ai-edge-gallery-482shots_so-e1775913301892.jpg" class="card-img-top not-responsive" style="max-height: 15rem;" alt="Link Preview Image" />
</a>



<div class="card-body">
<h5 class="card-title">
<a href="https://the-decoder.com/googles-gemma-4-puts-free-agentic-ai-on-your-phone-and-no-data-ever-leaves-the-device/">
Google's Gemma 4 puts free agentic AI on your phone and no data ever leaves the device
</a>
</h5>
<p class="card-text line-clamp-3">Google's new open-source model, Gemma 4, processes text, images, and audio completely on-device. Using agent skills, the AI can independently tap into tools like Wikipedia or interactive maps; no cloud required.</p>
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<a href="https://the-decoder.com/googles-gemma-4-puts-free-agentic-ai-on-your-phone-and-no-data-ever-leaves-the-device/" class="card-footer text-body-secondary small d-flex gap-2 align-items-center lh-2">



<img src="https://the-decoder.com/resources/favicons/favicon-32x32.png?v=3" alt="favicon" class="not-responsive overflow-hiddden" style="max-width: 21px; max-height: 21px;" />

























<p class="d-inline-block text-truncate mb-0">The Decoder <span class="text-secondary">(the-decoder.com)</span></p>
</a>
</div></p>]]></description><link>https://board.circlewithadot.net/post/https://burningboard.net/users/tux/statuses/116390444356954772</link><guid isPermaLink="true">https://board.circlewithadot.net/post/https://burningboard.net/users/tux/statuses/116390444356954772</guid><dc:creator><![CDATA[tux@burningboard.net]]></dc:creator><pubDate>Sun, 12 Apr 2026 07:00:39 GMT</pubDate></item></channel></rss>