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Showcase where the product positioning lies more clearly #272

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Apr 25, 2024
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Showcase where the product positioning lies more clearly #272

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8 changes: 4 additions & 4 deletions README.md
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## torchtitan is still in pre-release!
`torchtitan` is currently in a pre-release state and under extensive development.

`torchtitan` is a native PyTorch reference architecture showcasing some of the latest PyTorch techniques for large scale model training.
`torchtitan` is a proof-of-concept for Large-scale LLM training using native PyTorch. It is (and will continue to be) a repo to showcase PyTorch's latest distributed training features in a clean, minimal codebase. torchtitan is complementary to and not a replacement for any of the great large-scale LLM training codebases such as Megatron, Megablocks, LLM Foundry, Deepspeed, etc. Instead, we hope that the features showcased in torchtitan will be adopted by these codebases quickly. torchtitan is unlikely to ever grow a large community around it.

Here are some principles around building `torchtitan`

* Designed to be easy to understand, use and extend for different training purposes.
* Minimal changes to the model code when applying 1D, 2D, or (soon) 3D Parallel.
* Modular components instead of monolithic codebase.
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in the SBATCH command section.

## Product Position
`torchtitan` is a proof-of-concept for Large-scale LLM training using native PyTorch. It is (and will continue to be) a repo to showcase PyTorch's latest distributed training features in a clean, minimal codebase. torchtitan is complementary to and not a replacement for any of the great large-scale LLM training codebases such as Megatron, Megablocks, LLM Foundry, Deepspeed, etc. Instead, we hope that the features showcased in torchtitan will be adopted by these codebases quickly. torchtitan is unlikely to ever grow a large community around it.

## License

This code is made available under [BSD 3 license](./LICENSE). However you may have other legal obligations that govern your use of other content, such as the terms of service for third-party models, data, etc.
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