Vi Build with the highest win rate. Runes, items, and skill build in patch 15.06. Vi build recommendations and guides.

Vi with U.GG's best data for every build. The highest win rate Vi build, from rune set to skill order to item path, for Jungle. LoL Patch 15.6

Vi with Blitz's best data for every build. The highest win rate Vi build, from rune set to skill order to item path, for All. LoL Patch 25.06 (15.6)

Find Vi Arena tips here. Learn about Vi’s Arena build, runes, items, and skills in Patch 15.06 and improve your win rate!

Vi Jungle has a 49.2% win rate and 7.3% pick rate in Emerald + and is currently ranked A tier. Below, you will find a very detailed guide for Vi Jungle , where we explain strengths and weaknesses of the champion, powerspikes, and game plans for each stage of the game.

LoL Vi Runes, Item Builds for Top, Jungle, Mid, Support role. Patch 14.21 Solo Queue Vi is ranked as C Tier in the Jungle Lane with a 53.96% Win Rate (Above Average) and 1.82% Pick Rate (Low).

Looking to improve at your champ? Below are the latest video matches for Vi. Select a match to view the full playthrough. Learn Vi through MID.GG guides. Watch Vi videos and matchups.

2024年10月3日 · Vi, one of the most iconic champions in League of Legends, is celebrated for her relentless strength and fearless demeanor. As a powerful enforcer from Piltover, Vi dominates the battlefield with her massive gauntlets and unyielding spirit.

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llama.cpp使用ggml这个库来对llama家族的模型进行量化，加载量化模型进行推理。 1.1. 为什么需要ggml. 一个使用PyTorch或其他框架训练好的模型，可以通过不同的框架来加载并进行推理。 例如，通过Pytorch训练开源的llama系列模型，就可以通过llama.cpp这个开源项目来加载，进行推理。 进行加载时，需要按照模型的定义来构建模型，加载模型权重。 不同的框架可以有不同的方式来实现这一过程，但要和原有模型所定义的逻辑运算结果一致。 现在大模型的参数量很大。 …