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Memory

Giraffe

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First page
Giraffe
The curator’s take

A family of context-extended Llama and Llama 2 models, along with an empirical study of context-extension techniques.

Key points
01

Extended contexts: Fine-tuned models with 4K, 16K, and 32K context windows, providing ready-to-use open long-context variants.

02

Technique comparison: Systematically compares context-extension methods including positional interpolation, truncation strategies, and attention scaling.

03

Practitioner insights: Reports practical findings on which techniques preserve downstream quality at extended contexts - useful for anyone building long-context applications.

04

Context-extension recipe: The lessons from Giraffe fed directly into the recipes that would culminate in YaRN and similar approaches later that year.

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