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WebTo 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 …
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- 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…
WebTable 3. Models in the Pythia suite, number of GPUs used during training, and the number of GPUs we would have been able to use had we used the GPT-3 suite’s batch sizes. …
Papers with Code - Pythia: A Suite for Analyzing Large Language …
WebTo 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 …
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EleutherAI/pythia-2.8b · 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, …
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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 model usage with VizWiz · Issue #891 - GitHub
Web1144181135 commented Apr 20, 2021. I want to convert my dataset to the 'vizwiz' format and use Pythia model. I found several difficulties. I have extracted features as the intuition, …
Pythia: A Suite for Analyzing Large Language Models Across …
WebApr 3, 2023 · 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 …
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