std. deviation: 4.66
Looking Back from 2026In 2024, the model merging community was obsessed with weight interpolation: SLERP, DARE-TIES, linear merges, pass-through layers. The idea was always to combine the learned parameters of different models into something greater than the sum of its parts. mergekit was the tool of choice, and the leaderboard was flooded with creative combinations (making me wait months to get my model benchmarked…).，推荐阅读line 下載获取更多信息
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