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Flan Alpaca Xl

declare-lab

๐Ÿ

The Flan-Alpaca-XL model is an extension of the Stanford Alpaca synthetic instruction tuning approach to existing instruction-tuned models such as Flan-T5. It leverages large language models like GPT-3 to generate instructions as synthetic training data, which can then be used to fine-tune a smaller model. The Flan-Alpaca-XL model is fully accessible and trained on high-quality instructions, making it a useful tool for text-to-text generation tasks.

Use cases

The Flan-Alpaca-XL model has several use cases for text-to-text generation tasks. It can be used to generate high-quality instructions for various tasks, such as problem-solving or text-to-audio generation. The model is an extension of the Stanford Alpaca synthetic instruction tuning approach and has been fine-tuned on the Flan collection, making it better at problem-solving compared to other instruction-tuned models. It can also be used for large-scale evaluation benchmarking, as demonstrated in the InstructEval paper, where it outperformed several open-source instruction-tuned LLMs. The Flan-Alpaca-XL model is fully available on HuggingFace and can be accessed for practical applications or further research.

text2text-generation

Pricing

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Creator Models

ModelCostRuns
Flan Alpaca Gpt4 Xl$?113,893
Flan Alpaca Xxl$?1,654
Flan Alpaca Xl Lora$?0
Tango$?124
Flan Alpaca Large$?14,554

Similar Models

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Overview

Summary of this model and related resources.

PropertyValue
Creatordeclare-lab
Model NameFlan Alpaca Xl
Description

๐Ÿฎ ๐Ÿฆ™ Flan-Alpaca: Instruction Tuning from Humans and Machines ...

Read more ยป
Tagstext2text-generation
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Popularity

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PropertyValue
Runs5,361
Model Rank
Creator Rank

Cost

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PropertyValue
Cost per Run$-
Prediction Hardware-
Average Completion Time-