A learned lookup-memory adapter adds 273 MB to Qwen3.5-0.8B. We compare it with the unmodified model, same-data LoRA, and stock Qwen3.5-2B. 50 questions per model per benchmark; thinking enabled. Scores are correct answers, using the same questions for each model. - A tradeoff, not a general upgrade: memory scores higher than stock 0.8B on coding (9 vs 4) and instructions (32 vs 27), nearly the same on reasoning (18 vs 17), and lower on math (16 vs 25 under strict scoring). - The gains need confirmation. Memory changes which questions succeed; the paired intervals below show the uncertainty in the net gains. - It does not replace a 2B model in these tests. Stock 2B leads all four panels.…
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Kineticforge
kineticforge
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