# Multi-Checkpoint Tracking

Pythia-1B is a language model specialized for interpretability research developed by EleutherAI, belonging to the 1-billion-parameter version in the Pythia suite, trained on The Pile dataset.

Pythia-12B is the largest model in EleutherAI's scalable language model suite, with 12 billion parameters, specifically designed to advance scientific research on large language models

Pythia-6.9B is a large-scale language model developed by EleutherAI, part of the Pythia scalable suite, specifically designed to facilitate interpretability research.

Pythia-1B Deduplicated is a language model developed by EleutherAI specifically for interpretability research, trained on the deduplicated Pile dataset using Transformer architecture with 1 billion parameters

Pythia is a series of causal language models developed by EleutherAI, specifically designed for interpretability research. It includes 8 model sizes ranging from 70 million to 12 billion parameters, providing 154 training checkpoints.

Pythia-1.4B is a 1.2 billion parameter causal language model developed by EleutherAI, part of the Pythia scale suite, specifically designed for interpretability research.