Liuhong99/Sophia

• highreadme#1

  Reposition README's opening to emphasize "optimizer" and "LLM pre-training"

  Why:

  CURRENT

  This is an official implementation of the **Sophia-G** optimizer in the paper https://arxiv.org/abs/2305.14342 and GPT-2 training scripts.

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  Sophia is a **scalable stochastic second-order optimizer** specifically designed for **efficiently pre-training large language models (LLMs)**. This repository provides the official implementation of the **Sophia-G** optimizer from our paper (https://arxiv.org/abs/2305.14342) and includes GPT-2 training scripts.

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• hightopics#2

  Expand repository topics with more specific keywords

  Why:

  CURRENT

  deep-learning, large-language-models, optimizer

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  deep-learning, large-language-models, optimizer, llm-pretraining, second-order-optimizer, pytorch, machine-learning-optimizer, efficient-training, deep-learning-optimizer

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• mediumhomepage#3

  Add the paper URL as the repository homepage

  Why:

  COPY-PASTE FIX

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  https://arxiv.org/abs/2305.14342

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  What optimizers are effective for pre-training large language models efficiently?

  you: not recommended
  AI recommended (in order):

  1. AdamW
  2. AdaFactor
  3. Lion
  4. SGD with Momentum
  5. Adam

  AI recommended 5 alternatives but never named Liuhong99/Sophia. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Seeking a scalable second-order optimizer for deep learning models in PyTorch.

  you: not recommended
  AI recommended (in order):

  1. torch.optim.LBFGS
  2. K-FAC (f-dangel/backpack)
  3. Shampoo
  4. AdaHessian
  5. Newton-Raphson

  AI recommended 5 alternatives but never named Liuhong99/Sophia. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Liuhong99/Sophia?

  pass
  ✓AI named Liuhong99/Sophia explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts Liuhong99/Sophia in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named Liuhong99/Sophia explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo Liuhong99/Sophia solve, and who is the primary audience?

  pass
  ✓AI named Liuhong99/Sophia explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?