microsoft/torchscale

• highreadme#1

  Reposition the README's opening sentence to emphasize novel architectures

  Why:

  CURRENT

  TorchScale is a PyTorch library that allows researchers and developers to scale up Transformers efficiently and effectively.

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  TorchScale is a PyTorch library providing **novel foundation architectures** to efficiently and effectively scale Transformers and other large models, focusing on breakthroughs like DeepNet, Magneto, RetNet, and LongNet.

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• mediumcomparison#2

  Add a 'Comparison' section to clarify TorchScale's role

  Why:

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  ## Comparison to Distributed Training Frameworks
  
  TorchScale provides **architectural innovations** for foundation models (e.g., LongNet, RetNet, X-MoE) that can be integrated with, rather than replaced by, distributed training frameworks like DeepSpeed, PyTorch FSDP, or Megatron-LM. Our focus is on the fundamental model design, enabling more efficient and stable scaling, which can then be further optimized by these infrastructure tools.

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• lowexamples#3

  Add a dedicated 'Examples' section to the README

  Why:

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  ## Examples
  
  Explore practical implementations and usage examples within the repository:
  
  - **LongNet**: See `torchscale/model/LongNet.py` for the core implementation.
  - **LongViT**: Refer to `examples/longvit/README.md` for details on using LongViT.
  - **RetNet**: Find Retentive Network implementations in `torchscale/model/retnet.py`.

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

• CATEGORY QUERY

  How can I efficiently scale large language models for better training stability?

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  AI recommended (in order):

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• CATEGORY QUERY

  What advanced architectures are available for building general-purpose multimodal foundation models?

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  AI recommended 17 alternatives but never named microsoft/torchscale. This is the gap to close.

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• Metadata completeness

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• README presence

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

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

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

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