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  1. GitHub - EleutherAI/pythia: The hub for EleutherAI's work on ...

    • 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. F… See more

    Models

    We train and release a suite of 8 model sizes on the the Pile (paper, datasheet) as well as the … See more

    Github
    Changelog

    [November 2, 2023] We have added 14M and 31M models at the request of some researchers. We plan on training deduped versions of these models in the future.
    [April 3, 20… See more

    Github
    Quickstart

    All Pythia models are hosted on the Huggingface hub. They can be loaded and used via the following code (shown for the 3000-step pythia-70M-deduped model checkpoint):… See more

    Github
    Reproducing Training

    (Expanded reproduction instructions provided by @BaruchG ).
    We provide the training data for replication of our training runs. The GPT-NeoX library requires th… See more

    Github
    Exploring the Dataset

    We provide a tool to view particular portions of the training dataloader used by all models during training, at utils/batch_viewer.py.
    First, we ne… See more

    Github
    Pythia Paper Replication

    We provide further information for those interested in replicating our case studies performed in the Pythia suite paper in the case-studies/ folder of this repository, being
    •Memorizat… See more

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  3. Pythia Explained | Papers With Code

  4. People also ask
    What is Pythia and how does it work?Pythia 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.
    What is Pythia model suite?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.
    What is Pythia model?Pythia Model 13 Feb Written By Stella Biderman 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. InterpretabilityNLPAcross-Time Stella Biderman Previous Previous OpenWebMath Next Next tuned-lens About Research
    What is the Pythia scaling suite?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.
  5. Pythia — EleutherAI

  6. Pythia: open-source framework for multimodal AI …

    WEBMay 21, 2019 · What it is: Pythia is a deep learning framework that supports multitasking in the vision and language domain. Built on our open-source PyTorch framework, the modular, plug-and-play design …

  7. EleutherAI/pythia-6.9b · Hugging Face

  8. What is: Pythia - aicurious.io

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  10. Pythia - Wikipedia

  11. About PYTHIA - PYTHIA 8.3

  12. Pythia: A Suite for Analyzing Large Language Models Across …

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  14. Finetune LLM (LLAMA, GPT-Neo, GPT-J, Pythia) in Google Colab

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