Pythia 410M
About
Pythia 410M is a 410 million parameter transformer-based language model created by EleutherAI as part of the Pythia Scaling Suite, which consists of 16 models aimed at supporting interpretability research. Built using the GPT-NeoX library, this model is designed for text generation and language understanding tasks but is primarily for research use, not optimized for user-facing applications. It operates with 24 layers, a model dimension of 1024, and 16 heads, having been trained on approximately 300 billion tokens from the Pile dataset. While it supports only English, the model provides insights into learning dynamics with its 154 intermediate checkpoints. However, it may generate biased or offensive text, and outputs should be treated with caution as they're not factually verified.