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GitHub - EleutherAI/pythia: The hub for EleutherAI's work on ...
- This repository is for EleutherAI's project Pythia which combines interpretability analysis and sc…
The Pythia suite was developed with the explicit purpose of enabling research in interpretability, learning dynamics, and ethics and transparency for which existing model suites were inadequate. The key features of the Pythia suite are: - 1.All models, data, and code used in the paper are publicly released, enabling full reproducibilit…
2.All models feature 154 checkpoints saved throughout training, enabling the study of learning dynamics of LLMs.
- This repository is for EleutherAI's project Pythia which combines interpretability analysis and sc…
Pythia: A Suite for Analyzing Large Language Models Across …
WEBApr 3, 2023 · How do these patterns change as models scale? To answer these questions, we introduce \textit {Pythia}, a suite of 16 LLMs all trained on public data seen in the exact same order and ranging in size from 70M to 12B parameters.
EleutherAI/pythia-6.9b · Hugging Face
WEBThe 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 ...
Pythia: A Suite for Analyzing Large Language Models Across …
WEBHow do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To answer these questions, we introduce Pythia, a suite of 16 LLMs all trained on public data seen in the exact same order and ranging in size from 70M to 12B parameters. We provide public access to 154 …
WEBThe Pythia suite is the only publicly released suite of LLMs that satisfies three key properties: Models span several orders of magnitude of model scale. All models were trained on the same data in the same order. The data and intermediate checkpoints are publicly available for study.
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Pythia Explained | Papers With Code
WEBPythia is a suite of decoder-only autoregressive language models all trained on public data seen in the exact same order and ranging in size from 70M to 12B parameters. The model architecture and hyperparameters largely follow GPT-3, with a few notable deviations based on recent advances in best practices for large scale language modeling.
Pythia: A Suite for Analyzing Large Language Models Across
WEBApr 5, 2023 · How do large language models (LLMs) develop and evolve over the course of training? How do these patterns change as models scale? To answer these questions, we introduce Pythia, a suite of 16 LLMs all trained on public data seen in the exact same order and ranging in size from 70M to 12B parameters.
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WEBIn this paper we introduce Pythia, a suite of decoder-only autoregressive language models ranging from 70M to 12B parameters designed specifically to facilitate such scientific Pythia research. The suite is the only publicly released suite of LLMs that satisfies three key properties: Models span several orders of magnitude of model scale.
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[2304.01373] Pythia: A Suite for Analyzing Large Language …
WEBMay 5, 2023 · The Pythia suite is the only publicly released suite of LLMs that satisfies three key properties: 1. Models span several orders of magnitude of model scale. 2. All models were trained on the same data in the same order. 3. The data and intermediate checkpoints are publicly available for study.
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