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Pythia 2.8b

Developed by EleutherAI
Pythia - 2.8 billion is a member of the scalable language model suite developed by EleutherAI, designed specifically to promote the interpretability research of large language models. This model is based on the Transformer architecture and is trained on the The Pile dataset, with 2.8 billion parameters.
Downloads 40.38k
Release Time : 2/13/2023

Model Overview

Pythia - 2.8 billion is a causal language model based on the Transformer architecture and is part of the Pythia scalable model suite. This suite aims to provide a controlled environment for scientific research, with a particular focus on the study of the behavior, functionality, and limitations of large language models.

Model Features

Controlled environment for scientific research
Designed specifically to promote the interpretability research of large language models, providing a standardized training process and checkpoints
Complete training checkpoints
Provides 154 intermediate checkpoints, including the initial step0, 10 logarithmically spaced checkpoints, and 143 evenly spaced checkpoints
Standardized training data
All Pythia models are trained using exactly the same training data and order, facilitating comparative research

Model Capabilities

English text generation
Language modeling
Text completion

Use Cases

Scientific research
Research on language model behavior
Study the evolution process of large language models at different training stages
Analysis of model interpretability
Analyze the internal working mechanism and decision - making process of the model
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