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EleutherAI
939 posts
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EleutherAI
@AiEleuther
A non-profit research lab focused on interpretability, alignment, and ethics of AI. Creators of Pythia, VQGAN-CLIP, and using SAEs for interp
eleuther.ai
Joined August 2022
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  • Pinned
    user avatar
    EleutherAI
    @AiEleuther
    Jun 6, 2025
    Can you train a performant language models without using unlicensed text? We are thrilled to announce the Common Pile v0.1, an 8TB dataset of openly licensed and public domain text. We train 7B models for 1T and 2T tokens and match the performance similar models like LLaMA 1&2
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    180K
  • user avatar
    EleutherAI
    @AiEleuther
    Mar 2, 2023
    Over the past two and a half years, EleutherAI has grown from a group of hackers on Discord to a thriving open science research community. Today, we are excited to announce the next step in our evolution: the formation of a non-profit research institute.
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    blog.eleuther.ai
    The View from 30,000 Feet: Preface to the Second EleutherAI Retrospective
    (Some of) what we've been up to for the past year-and-a-half at EleutherAI.
    346K
  • user avatar
    EleutherAI
    @AiEleuther
    Mar 21, 2023
    Introducing the release 2.0 of GPT-NeoX, the open-source Megatron-DeepSpeed based library used to train GPT-NeoX-20B and the Pythia model suite.
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    GitHub - EleutherAI/gpt-neox: An implementation of model parallel autoregressive transformers on...
    From github.com
    79K
  • user avatar
    EleutherAI
    @AiEleuther
    Apr 19, 2023
    The most common question we get about our models is "will X fit on Y GPU?" This, and many more questions about training and inferring with LLMs, can be answered with some relatively easy math. By @QuentinAnthon15, @BlancheMinerva, and @haileysch__
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    blog.eleuther.ai
    Transformer Math 101
    We present basic math related to computation and memory usage for transformers
    79K
  • user avatar
    EleutherAI
    @AiEleuther
    May 23, 2023
    Everyone knows that transformers are synonymous with large language models… but what if they weren’t? Over the past two years @BlinkDL_AI and team have been hard at work scaling RNNs to unprecedented scales. Today we are releasing a preprint on our work
    arXiv logo
    arxiv.org
    RWKV: Reinventing RNNs for the Transformer Era
    Transformers have revolutionized almost all natural language processing (NLP) tasks but suffer from memory and computational complexity that scales quadratically with sequence length. In contrast,...
    120K
  • user avatar
    EleutherAI
    @AiEleuther
    Dec 16, 2022
    What do LLMs learn over the course of training? How do these patterns change as you scale? To help answer these questions, we are releasing a Pythia, suite of LLMs + checkpoints specifically designed for research on interpretability and training dynamics!
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    GitHub - EleutherAI/pythia: The hub for EleutherAI's work on interpretability and learning dynamics
    From github.com
    116K
  • user avatar
    EleutherAI
    @AiEleuther
    Aug 11, 2024
    📕Today, we'd like to draw attention to the EleutherAI cookbook! (github.com/EleutherAI/coo…) The cookbook contains practical details and utilities that go into working with real models! Such as: 🧵
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    GitHub - EleutherAI/cookbook: Deep learning for dummies. All the practical details and useful...
    From github.com
    49K
  • user avatar
    EleutherAI
    @AiEleuther
    Sep 27, 2022
    As part of our work to democratize and promote access to language model technology worldwide, the Polyglot team at EleutherAI is conducting research on multilingual and non-English NLP. We are excited to announce their first models: Korean LLMs with 1.3B and 3.8B parameters.
  • user avatar
    EleutherAI
    @AiEleuther
    Mar 9, 2023
    We have been getting emails from confused individuals trying to access api.eleuther.ai recently. That webpage doesn’t exist, because we don’t have an API. One of them finally clued us in to why: apparently ChatGPT suggests it for trying out our models.
    49K
  • user avatar
    EleutherAI
    @AiEleuther
    May 24, 2024
    Excited to share our new paper, Lessons From The Trenches on Reproducible Evaluation of Language Models! In it, we discuss common challenges we’ve faced evaluating LMs, and how our library the Evaluation Harness is designed to mitigate them 🧵 arxiv.org/abs/2405.14782
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    71K
  • user avatar
    EleutherAI
    @AiEleuther
    Sep 7, 2023
    ggml is a deeply impressive project, and much of its success is likely ascribable to @ggerganov's management. Managing large-scale branching collaborations is a very challenging task (one we hope to improve at!), and Georgi deserves huge props for how he handles it.
    user avatar
    Georgi Gerganov
    @ggerganov
    Aug 31, 2023
    The ggml roadmap is progressing as expected with a lot of infrastructural development already completed We now enter the more interesting phase of the project - applying the framework to practical problems and doing cool stuff on the Edge
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    39K
  • user avatar
    EleutherAI
    @AiEleuther
    Jul 21, 2023
    We applaud @Meta’s continued push to openly license their models with #Llama2 having the most permissive license yet. However we are extremely sad to see Meta continue to spread misinformation about the licensing of the model: LLaMA 2 is not open source
    A llama eating spaghetti
    Meta’s LLaMa license is not Open Source
    From opensource.org
    64K
  • user avatar
    EleutherAI
    @AiEleuther
    Feb 29, 2024
    We’re excited to be collaborating on a new *resource release* to help provide an on-ramp for new open model developers: the Foundation Model Development Cheatsheet!
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    18K
  • user avatar
    EleutherAI
    @AiEleuther
    Nov 20, 2024
    EleutherAI is hiring post-doctoral researchers and interns who don't have PhDs. Email contact@ with: - Two papers you thought were interesting and what you would do differently from them - A cool research idea - A resume, if you really want to
    24K
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