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比LoRA还快50%的微调方法来了！一张3090性能超越全参调优，UIUC联合LMFlow团队提出LISA …
2024年4月1日 · LISA 算法的核心在于： - 始终更新底层 embedding 和顶层 linear head； - 随机更新少数中间的 self-attention 层，比如 2-4 层。 出乎意料的是，实验发现该算法在指令微调任务上超过 LoRA 甚至全 参数 微调。 更重要的是，其空间消耗和 LoRA 相当甚至更低。 70B 的总空间消耗降低到了 80G*4，而 7B 则直接降到了单卡 24G 以下！ 进一步的，因为 LISA 每次中间只会激活一小部分 参数，算法对更深的网络，以及梯度检查点技术（Gradient Checkpointing）也很友 …
LISA: Reasoning Segmentation via Large Language Model
2023年8月2日 · LISA unlocks the new segmentation capabilities of multi-modal LLMs, and can handle cases involving: complex reasoning; world knowledge; explanatory answers; multi-turn conversation. LISA also demonstrates robust zero-shot capability when trained exclusively on reasoning-free datasets. In addition, fine-tuning the model with merely 239 reasoning ...
Lisa Thuning (@lisathuningcswmc) • Instagram photos and videos
86 Followers, 8 Following, 1 Posts - Lisa Thuning (@lisathuningcswmc) on Instagram: "".
LLMs 大模型微调Finetune，LISA强势来袭，相比LoRA微调LISA性能提升巨大，微调新方法LISA微调登榜sota，LISA ...
2024年4月2日 · 论文《LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning》 上图是在具有全参数训练(FT)、LoRA和LISA的Alpaca GPT-4数据集上的LLaMA-2-7B模型训练损失。我们不难发现LISA随着step的增加，保持在一个较低的loss状态。
Lisa Thuning Address & Phone Number - Whitepages
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Lisa M Thuning, Age 57, Oberlin, OH - ohioresidentdatabase.com
2012年2月16日 · Lisa M Thuning (age 57) is currently listed at 45825 St Rt 303, Oberlin, 44074 Ohio and is affiliated with the Republican Party. Lisa is registered to vote since February 16, 2012 in Lorain County. Overview of Lisa M Thuning. Lives in: Oberlin, Ohio. DOB: October 16, 1966. Lisa M Thuning Voting Profile. Party Affiliation: Republican Party.