WebMar 12, 2024 · flan-ul2-inference.py This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in … WebThe FLAN Instruction Tuning Repository. This repository contains code to generate instruction tuning dataset collections. The first is the original Flan 2024, documented in …
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WebMar 30, 2024 · Flan-UL2 is an encoder decoder model based on the T5 architecture. It uses the same configuration as the UL2 model released earlier last year. It was fine tuned … WebApr 3, 2024 · Flan-UL2. Flan-UL2是基于T5架构的编码器解码器模型,使用了去年早些时候发布的UL2模型相同的配置。它使用了“Flan”提示微调和数据集收集进行微调。 原始 … philly sauce papa john\u0027s
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Flan-UL2 is an encoder decoder model based on the T5 architecture. It uses the same configuration as the UL2 modelreleased earlier last year. It was fine tuned using the "Flan" prompt tuning and dataset collection. According to the original bloghere are the notable improvements: 1. The original UL2 model was only … See more This entire section has been copied from the google/ul2 model card and might be subject of change with respect to flan-ul2. UL2 is a unified framework for pretraining models that are … See more WebMar 12, 2024 · In this tutorial, we deployed Flan-UL2 to a single GPU instance. The whole process takes only ~10 minutes and then we were ready to go. Limitations / Possible improvements. Flan-UL2 is resource intensive and takes a long time to generate tokens. Since we use a real-time SageMaker endpoint we are limited to 60 seconds for a … WebMar 3, 2024 · Generally, Flan-UL2 outperforms Flan-T5 XXL on all four setups with an overall decent performance lift of +3.2% relative improvement. Most of the gains seem to … philly sauce base papa johns