What is recorded here?
Fine-tuned low-rank adapters through frozen four-bit model weights, combining NormalFloat storage, double quantization and paged optimizers to reduce memory use.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Quantized storage is dequantized for higher-precision computation. Quality retention and memory figures are empirical for the studied tasks; QLoRA builds on the already catalogued LoRA method.
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People and systems
Tim Dettmers; Artidoro Pagnoni; Ari Holtzman; Luke Zettlemoyer
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Dettmers and colleagues: QLoRA quantized adapter fine-tuning
Fine-tuned low-rank adapters through frozen four-bit model weights, combining NormalFloat storage, double quantization and paged optimizers to reduce memory use.
Scientific scope
Quantized storage is dequantized for higher-precision computation. Quality retention and memory figures are empirical for the studied tasks; QLoRA builds on the already catalogued LoRA method.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Tim Dettmers; Artidoro Pagnoni; Ari Holtzman; Luke Zettlemoyer
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.