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EleutherAI/pythia-12b · Hugging Face
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 … See more
- 1. Developed by: EleutherAI
- 2. Model type: Transformer-based Language Model
- 3. Language: English
- 4. Learn more: Pythia's GitHub repository for training procedure… See more
- Intended Use
- The primary intended use of Pythia is research on the behavior, functionality, a…
- Out-of-scope use
- The Pythia Suite is notintended for deployment. It is not … See more
All 16 Pythia models were evaluated using the LM Evaluation Harness. You can access the results by model and step at results/json/* in the GitHub repository. Expand the sections below to see plots of evaluation results for all Pythia and Pythia-deduped models … See more
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GitHub - EleutherAI/pythia: The hub for EleutherAI's work on ...
WEBPythia: Interpreting Transformers Across Time and Scale. This repository is for EleutherAI's project Pythia which combines interpretability analysis and scaling laws to understand how knowledge develops and evolves during training in autoregressive transformers. For detailed info on the models, their training, and their properties, please …
Pythia 12b by EleutherAI | AI model details
WEBMay 21, 2024 · The pythia-12b-deduped is a 12 billion parameter language model developed by EleutherAI as part of the Pythia Scaling Suite. This suite contains models of various sizes, from 70M to 12B parameters, all trained on the same Pile dataset.
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 research. The Pythia suite is the only publicly released suite of LLMs that satisfies three key properties: Models span several orders of magnitude of model scale.
[2304.01373] Pythia: A Suite for Analyzing Large Language …
WEBApr 3, 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 \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.
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.
Pythia — EleutherAI
WEBFeb 13, 2023 · A suite of 16 models with 154 partially trained checkpoints designed to enable controlled scientific research on openly accessible and transparently trained large language models.
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.
Papers with Code - Pythia: A Suite for Analyzing Large Language …
WEBApr 3, 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 \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.
Pythia Model | Large Language Models Leaderboard
WEBPythia is a suite of 16 large language models (LLMs) developed to study the behavior and dynamics of LLMs during training and scaling. These LLMs were trained on public data in the same order, ranging in size from …
EleutherAI/pythia-12b - Demo - DeepInfra
WEBThe Pythia Scaling Suite includes 16 models (2 per size) with sizes ranging from 70M to 12B parameters, trained on the Pile dataset. The models are designed for interpretability research and match or exceed performance of similar models.
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.
Pythia: A Suite of 16 LLMs for In-Depth Research - KDnuggets
WEBPythia by Eleuther AI is a suite of 16 LLMs trained on publicly available Pile and deduplicated Pile datasets. The size of the LLMs range from 70M to 12B parameters. The training data and model checkpoints are open-source and it is possible to reconstruct the exact training data loaders.
EleutherAI/pythia-12b - API Reference - DeepInfra
WEBThe Pythia Scaling Suite includes 16 models (2 per size) with sizes ranging from 70M to 12B parameters, trained on the Pile dataset. The models are designed for interpretability research and match or exceed performance of similar models.
Pythia: A Suite for Analyzing Large Language Models Across …
WEBApr 24, 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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[2304.01373] Pythia: A Suite for Analyzing Large Language …
WEBMay 5, 2023 · In 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 research. 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 …
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