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Memory · Training

Extending Context Window of LLMs (PI)

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First page
Extending Context Window of LLMs (PI)
The curator’s take

Position Interpolation extends LLaMA's context to 32K with minimal fine-tuning (within 1000 steps).

Key points
01

Position interpolation: Linearly interpolates positional indices so pretrained RoPE attention generalizes to longer sequences without breaking.

02

1000-step adaptation: Requires only ~1000 fine-tuning steps versus prior methods that needed much more compute.

03

Quality preservation: Maintains strong performance on tasks while reaching 32K context - both long-context tasks and standard-length benchmarks.

04

Standard long-context recipe: Became the standard approach for extending open-source model context windows throughout 2023 and early 2024.

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