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We have one horrible disjuncture, between layers 6 → 2. I have one more hypothesis: A little bit of fine-tuning on those two layers is all we really need. Fine-tuned RYS models dominate the Leaderboard. I suspect this junction is exactly what the fine-tuning fixes. And there’s a great reason to do this: this method does not use extra VRAM! For all these experiments, I duplicated layers via pointers; the layers are repeated without using more GPU memory. Of course, we do need more compute and more KV cache, but that’s a small price to pay for a verifiably better model. We can just ‘fix’ an actual copies of layers 2 and 6, and repeat layers 3-4-5 as virtual copies. If we fine-tune all layer, we turn virtual copies into real copies, and use up more VRAM.，更多细节参见新收录的资料
FT Edit: Access on iOS and web。新收录的资料是该领域的重要参考
拍卖所得价款，在扣除保管和拍卖过程中的全部费用后，依照本法规定支付救助款项；剩余的金额，退还被救助方；无法退还、自拍卖之日起满一年又无人认领的，归国家所有；不足的金额，救助方有权向被救助方追偿。。关于这个话题，新收录的资料提供了深入分析
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