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A rank-8 LoRA raises Qwen3-8B accuracy from 15.5% to 99% on 24-line chains

huggingface.co by Zehao Jin et al. Editor score 9/10

A task-trained rank-8 LoRA at one early layer raises Qwen3-8B exact accuracy from 15.5% to 99% on 24-line chains, with model weights frozen; code and a demo are available. The result shows how a small targeted edit can unlock computation that pretrained models fail to use by default.

What

A task-trained rank-8 LoRA at one early layer extends pretrained transformers' ability to follow references across long chains.

Method

With model weights frozen, Qwen3-8B exact accuracy on 24-line chains rises from 15.5% to 99%; the LoRA relays chain identity through middle layers.

Why it matters

Default answers can understate the computation accessible through a small task-specific edit.

Read on huggingface.co → Code · 2 stars

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