<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Andrew Rose · research log</title><link>https://andrewroseit.com/</link><description>Independent AI researcher. I want AI cheap enough to run that it can actually make companies profitable, from one gaming GPU up to data centers. Every result posted, failures included.</description><language>en</language><item><title>One llama.cpp flag more than doubled my 32-user speed</title><link>https://andrewroseit.com/posts/op-offload/</link><guid>https://andrewroseit.com/posts/op-offload/</guid><pubDate>Tue, 27 Oct 2026 12:00:00 +0000</pubDate><description>Turning off op offload took Qwen2.5-14B Q6_K from 60.2 to 135.0 tok/s at 32 users on my RTX 3080. Single user didn&#x27;t change. It&#x27;s a setting, not a new method.</description></item><item><title>A tiny draft model made Q6_K about 35% faster</title><link>https://andrewroseit.com/posts/spec-decoding/</link><guid>https://andrewroseit.com/posts/spec-decoding/</guid><pubDate>Tue, 27 Oct 2026 12:00:00 +0000</pubDate><description>Speculative decoding with Qwen2.5-0.5B as the draft took Q6_K from 14.13 to 19.09 tok/s on my RTX 3080. Quality held. N-gram guessing did nothing, so it&#x27;s dropped.</description></item><item><title>Why is 32 users slower than 16?</title><link>https://andrewroseit.com/posts/32-user-dip/</link><guid>https://andrewroseit.com/posts/32-user-dip/</guid><pubDate>Tue, 27 Oct 2026 12:00:00 +0000</pubDate><description>Full-size F16 in llama.cpp gets 28.4 tok/s total at 16 users, 19.1 at 32, then 35.3 at 64. That dip shouldn&#x27;t be there.</description></item><item><title>The number to beat is 13.28 tokens a second</title><link>https://andrewroseit.com/posts/q6k-baseline/</link><guid>https://andrewroseit.com/posts/q6k-baseline/</guid><pubDate>Mon, 26 Oct 2026 12:00:00 +0000</pubDate><description>llama.cpp&#x27;s Q6_K runs Qwen2.5-14B at 13.28 tok/s on my RTX 3080 and only loses 0.72% quality. That&#x27;s the bar now.</description></item><item><title>Perfect quality, 29× slower. Dropping SSX.</title><link>https://andrewroseit.com/posts/ssx-dropped/</link><guid>https://andrewroseit.com/posts/ssx-dropped/</guid><pubDate>Mon, 26 Oct 2026 12:00:00 +0000</pubDate><description>My exact-correction idea matched the full model&#x27;s quality exactly. It was also way too slow, so it&#x27;s gone.</description></item><item><title>Ideas I didn&#x27;t build because someone already did</title><link>https://andrewroseit.com/posts/dropped-ideas/</link><guid>https://andrewroseit.com/posts/dropped-ideas/</guid><pubDate>Mon, 26 Oct 2026 12:00:00 +0000</pubDate><description>Before building anything I search the papers. Several of my ideas were already out there, so I dropped them.</description></item></channel></rss>