🏞️ Context Parallelism benchmark guide #4075
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kashif
reviewed
Sep 12, 2025
kashif
reviewed
Sep 12, 2025
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
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Ready for review 😄 @lewtun @S1ro1 @qgallouedec @kashif |
S1ro1
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Sep 15, 2025
docs/source/reducing_memory_usage.md
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| - [Accelerate: Context Parallelism Guide](https://github.com/huggingface/accelerate/blob/main/docs/source/concept_guides/context_parallelism.md) | ||
| - [Accelerate Example: 128k Sequence Length](https://github.com/huggingface/accelerate/blob/main/examples/torch_native_parallelism/README.md#context-parallelism-128k-sequence-length) | ||
| - [Hugging Face Blog: Enabling Long-Context Training with Sequence Parallelism in Axolotl](https://huggingface.co/blog/axolotl-ai-co/long-context-with-sequence-parallelism-in-axolotl) | ||
| - [Snowflake Engineering Blog: Arctic Long Sequence Training (ALST) — Scalable and Efficient Training for Multi-Million Token Sequences](https://www.snowflake.com/en/engineering-blog/arctic-long-sequence-training-multi-million-token-ai/) |
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Snowflake uses a rather different strategy than the links above, not sure if it won't be a bit confusing?
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I understand your concern... I wanted to include some suggested readings for users who want to explore further
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maybe add "Note that they use a different strategy", something like this?
qgallouedec
reviewed
Sep 15, 2025
qgallouedec
reviewed
Sep 15, 2025
qgallouedec
reviewed
Sep 15, 2025
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com>
qgallouedec
approved these changes
Sep 16, 2025
qgallouedec
approved these changes
Sep 16, 2025
qgallouedec
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