I had some fun with FriendlyELEC NanoPC-T6
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.
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Пьяный «пассажир из ада» покусал стюардессу и избежал тюрьмы20:35
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Detectives are investigating if alleged surveillance of Jewish locations and individuals is linked to possible attacks on British soil
Приграничные позиции российских войск в Брянской области оказались под серьезной атакой дронов Вооруженных сил Украины (ВСУ). Так обстановку в этом районе после появления данных о начале охоты ВСУ на бойцов ВС России описали в Telegram-канале «Два майора».。业内人士推荐超级工厂作为进阶阅读