<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Qwen on Matt Suiche</title><link>https://www.msuiche.com/tags/qwen/</link><description>Recent content in Qwen on Matt Suiche</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 09 Sep 2026 00:00:00 +0200</lastBuildDate><atom:link href="https://www.msuiche.com/tags/qwen/index.xml" rel="self" type="application/rss+xml"/><item><title>Membership vs Mass: Grammar-Constrained Decoding, Forced Abliteration, and One Honest Negative Result</title><link>https://www.msuiche.com/posts/membership-vs-mass-grammar-constrained-decoding-forced-abliteration-and-one-honest-negative-result/</link><pubDate>Wed, 09 Sep 2026 00:00:00 +0200</pubDate><guid>https://www.msuiche.com/posts/membership-vs-mass-grammar-constrained-decoding-forced-abliteration-and-one-honest-negative-result/</guid><description>&lt;p&gt;&lt;a href="https://tantalus.io/" target="_blank" rel="noopener"&gt;Vince&amp;rsquo;s Tantalus arena&lt;/a&gt; is the first public
deployment of &lt;strong&gt;grammar-constrained decoding&lt;/strong&gt; as a security boundary: the
model sits behind a GBNF grammar, and the grammar decides which token ids
may exist next, per position, for the entire generation. Round 1 asks you
to smuggle an instruction past it. Round 2 inverts the game: you speak
only in tool calls, one character at a time, through the model&amp;rsquo;s own
next-token suggestions. Both rounds are the same object seen from two
sides: a token-id filter applied at the sampler, compiled from a grammar,
never touching the weights.&lt;/p&gt;</description></item><item><title>Autoresearch: Sticky Refusals, Free Speculative Decoding, and the Invisible Quantisation Cliff</title><link>https://www.msuiche.com/posts/autoresearch-sticky-refusals-free-speculative-decoding-and-the-invisible-quantisation-cliff/</link><pubDate>Thu, 03 Sep 2026 00:00:00 +0200</pubDate><guid>https://www.msuiche.com/posts/autoresearch-sticky-refusals-free-speculative-decoding-and-the-invisible-quantisation-cliff/</guid><description>&lt;p&gt;This is the follow-up to the &lt;a href="https://www.msuiche.com/posts/autoresearch-abliteration-without-redistributing-the-model/"&gt;projection-steering post&lt;/a&gt;:
two more weeks, five model families, and a pile of measurements that killed
several of my own assumptions. The short version is that the GLP approach, ship the
&lt;em&gt;difference&lt;/em&gt;, not the model, now covers seven checkpoints from five vendors
(DeepSeek, Qwen, Z.ai, Thinking Machines, Tencent), and the
interesting findings are no longer &amp;ldquo;it works&amp;rdquo; but &lt;em&gt;where it behaves differently&lt;/em&gt;,
&lt;em&gt;what it composes with&lt;/em&gt;, and, the new thread, &lt;em&gt;what it breaks that isn&amp;rsquo;t refusal&lt;/em&gt;.&lt;/p&gt;</description></item><item><title>Local Models Within Reach: Everything That Changed in Eight Months</title><link>https://www.msuiche.com/posts/local-models-within-reach-everything-that-changed-in-eight-months/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.msuiche.com/posts/local-models-within-reach-everything-that-changed-in-eight-months/</guid><description>&lt;p&gt;Eight months ago I published &lt;a href="https://www.msuiche.com/posts/building-agents-for-small-language-models-a-deep-dive-into-lightweight-ai/"&gt;Building Agents for Small Language Models&lt;/a&gt;, a set of hard-won notes from shipping agents on 270M–32B parameter models. At the time, running useful local models meant embracing constraints: small context windows, CPU-only fallbacks, broken UTF-8 streams, and reasoning that fell apart past two steps.&lt;/p&gt;
&lt;p&gt;I stand by that post. But the ground has shifted fast. What was a set of careful workarounds in August 2025 is starting to look like the default architecture for a large class of workloads. Local models are no longer the constrained sibling of cloud APIs — for many agent use cases, they are the better answer. Here is what has changed.&lt;/p&gt;</description></item></channel></rss>