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Flan Alpaca Base

declare-lab

๐Ÿ“‰

The Flan-Alpaca model is a fine-tuned version of the Vicuna-13B model specifically designed for problem-solving tasks. It leverages the Alpaca approach to approximate the performance of large language models (LLMs) like ChatGPT by generating synthetic training data through instructions generated by an LLM. The Flan-Alpaca model is fully accessible and trained on high-quality instructions, making it a valuable resource for text generation and problem-solving tasks.

Use cases

The Flan-Alpaca model has several potential use cases for a technical audience. It can be used for problem-solving tasks, as it has been fine-tuned to excel in this area. The model can generate synthetic training data for instruction-tuned models, making it a valuable resource for training and improving models in fields such as natural language processing and artificial intelligence. It can also be used for text-to-audio generation, adding another dimension to text-based applications. Furthermore, the Flan-Alpaca model can be used to benchmark and evaluate other instruction-tuned models, allowing researchers and developers to compare their models' performance. Overall, the Flan-Alpaca model provides a wide range of practical uses and opportunities for innovation in the field of text generation and problem-solving.

text2text-generation

Pricing

Cost per run
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Avg run time
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Hardware
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Prediction

Creator Models

ModelCostRuns
Tango Full$?5
Tango Full Ft Audiocaps$?178
Segue W2v2 Base$?254
Flan Gpt4all Xl$?428
Tango Full Ft Audio Music Caps$?0

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Flan Alpaca Base model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Overview

Summary of this model and related resources.

PropertyValue
Creatordeclare-lab
Model NameFlan Alpaca Base
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

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs12,822
Model Rank
Creator Rank

Cost

How much does it cost to run this model? How long, on average, does it take to complete a run?

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