The plain matrices hold on a tightly written prompt
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README.md
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@@ -118,9 +118,11 @@ That costs 0.0027 of pure-text cosine on the residual and 0.0013 on the matrix.
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| `mmh3-8b-ClipProj-v3` | 0.9289 |
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| `mmh3-4b-ClipProj-v3` | 0.9193 |
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**Prefer the `-mlp` files.** They
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The
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## What this is
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| `mmh3-8b-ClipProj-v3` | 0.9289 |
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| `mmh3-4b-ClipProj-v3` | 0.9193 |
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**Prefer the `-mlp` files, on the measurement — not on this scene.** They sit closer to the 32B, 0.9449 against 0.9289 on the 8B. But watch the video before assuming that shows: on this prompt the five renders are faithful, plain matrices included. The pose, the red dress, the white pieces, the cat, the straw hat, the laundry, the bouncing knee — all of it holds on all five.
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The only thing nobody gets right is the knight. The prompt asks her to lift one of her own pieces and set it back down without committing to the move; on every render it lands somewhere else, and on one of them — the 8B residual, the best-measuring file of the set — there is no knight on the board at all. That is object permanence behind an occluding hand on a grid of sixty-four identical squares, a limit of the video model rather than of the conditioning, and the 32B reference fails it too.
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So the honest reading is: a tightly written prompt survives even the linear baseline, and the difference between the files shows up in the numbers well before it shows up on screen.
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## What this is
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