针对以上背景,「作者提出了LaMini-LM,其模型大小明显小于大多数现有的指令调优模型」。具体是通过使用LLM的序列蒸馏(也称为离线蒸馏)开发了LaMini-LM模型。虽然在最近的工作中也进行了类似的尝试,但本文针对前人工作的存在不足:(i)小规模的蒸馏数据集;(ii)多样化受限;(iii)模型数量有限;(iv)没有对模型的性能进...
LaMini-LM is a collection of small-sized, efficient language models distilled from ChatGPT and trained on a large-scale dataset of 2.58M instructions. We explore different model architectures, sizes, and checkpoints, and extensively evaluate their performance across various NLP benchmarks and ...
【LaMini-LM: 从 ChatGPT 蒸馏的小型、高效的语言模型集合,在2.58 M 指令大规模数据集上进行训练】'LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions - LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions' MBZUAI NLP department GitHub: github.com/...
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LaMini-LM🦙这个项目挺牛的,它对一堆(目前15个)迷你大语言模型进行了微调,这些模型最大的只有1.5B参数,调出来后的性能非常好,其中GPT-2微调后的性能媲美前不久刚开源的LLaMa的Alpaca-7B。一些局限性:- 可能从ChatGPT中继承偏见和错误。- 有时会产生错觉。- 编程和数学能力不佳。- 难以 .....