Pythia-1.4B-deduped-v0
| Property | Value |
|---|---|
| Parameter Count | 1.4B (1,414,647,808 params) |
| Model Type | Transformer-based Language Model |
| License | Apache 2.0 |
| Paper | The Pile Paper |
| Training Data | Deduplicated version of The Pile |
What is pythia-1.4b-deduped-v0?
Pythia-1.4B-deduped-v0 is part of the Pythia Scaling Suite, a collection of models specifically designed for interpretability research. This particular model features 1.4 billion parameters and was trained on a deduplicated version of The Pile dataset, making it particularly valuable for studying language model behavior in controlled settings.
Implementation Details
The model architecture consists of 24 layers with 2048 model dimensions and 16 attention heads. It was trained with a batch size of 4M tokens and a learning rate of 2.0 x 10^-4. Notable features include the availability of 143 evenly spaced checkpoints throughout training, enabling detailed analysis of model development.
- 24 transformer layers with 2048 dimension
- 16 attention heads for complex pattern recognition
- Trained on 299,892,736,000 tokens
- Uses GPT-NeoX architecture
Core Capabilities
- Next token prediction for research purposes
- English language text generation
- Interpretability research applications
- Checkpoint analysis across training progression
Frequently Asked Questions
Q: What makes this model unique?
The model's unique value lies in its research-focused design with 143 available checkpoints, allowing researchers to study model behavior throughout the training process. It's trained on deduplicated data, providing cleaner training signals.
Q: What are the recommended use cases?
This model is primarily intended for research on language model behavior and interpretability studies. It's not designed for deployment or commercial applications, and should not be used for human-facing interactions without appropriate fine-tuning and safety measures.
