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great idea. Currently working on updating benches on frontiers models, so far on glm-5.3 it's already showed great results. Can I have a link to oh-my-pi to make sure will sure use right one for it?
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Also regular pi, which is particularly minimal
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Also, quick question: Could I use octomind upstream of harnesses like omp and get the savings? Or do you primarily get the savings from using the octomind CLI?
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did they stick with the image-based compaction (when vision is supported i guess)? It boggled my mind: "snapcompact, which archives older history into dense images for a vision-capable model"
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it's in the docs! never have used it though https://omp.sh/docs/compaction
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I use it. It works flawlessly.
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