EleutherAI/pythia-160m
text-generation model by EleutherAI
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Model card & documentation
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The Pythia Scaling Suite is a collection of models developed to facilitate interpretability research (see paper). It contains two sets of eight models of sizes 70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two models: one trained on the Pile, and one trained on the Pile after the dataset has been globally deduplicated. All 8 model sizes are trained on the exact same data, in the exact same order. We also provide 154 intermediate checkpoints per model, hosted on Hugging Face as branches. The Pythia model suite was deliberately designed to promote scientific research on large language models, especially interpretability research. Despite not centering downstream performance as a design goal, we find the models match or exceed the performance of similar and same-sized models, such as those in the OPT and GPT-Neo suites. Details on previous early release and naming convention. Previously, we released…
Read the full model card ↗ · Preview checked 2026-10-29T03:27:52.650Z
Inside the original model card — Document outline
- Pythia-160M
- Model Details
- Uses and Limitations
- Intended Use
- Out-of-scope use
- Limitations and biases
- Quickstart
- Training
- Training data
- Training procedure
- Evaluations
- Changelog
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
EleutherAI/pythia-160m is a text-generation model repository published by EleutherAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 3,390,162
- Cumulative likes
- 66
- Hugging Face trending score
- 2
- Reported safetensors parameters
- 212,654,688
- Architecture
- GPTNeoXForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-02-08T19:25:46.000Z
- Last modified
- 2023-07-09T15:52:09.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:29.042Z. Daily imports are snapshots, not real-time monitoring.
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