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Beyond Temperature

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-09-06 / reddit-researcherA late-stage LoRA hyperfitting paper reports an antislop effect from tuning only the final five layersAn ICML 2026 poster, 'Beyond Temperature: Hyperfitting as a Late-Stage Geometric Expansion', reports that hyperfitting a LoRA on the last five layers is sufficient to reduce repetitive model phrasing, with code already published at github.com/YecanLee/Beyond-Temperature and an OpenReview page. The r/LocalLLaMA thread is small and skeptical, with the top reply noting the paper's own abstract uses 'It isn't X, it's a Y' framing and tests only Qwen2.5, Gemma 2 and Llama 3.2, and another commenter pointing out the original hyperfitting result came with quality losses that a narrow LoRA might only partly avoid. Worth an experiment for anyone with spare VRAM and a house-style problem.

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BENCHMARKED AGAINST
Llama 3.2
Beyond Temperature paper tests hyperfitting LoRA on Llama 3.2
Source finding
BENCHMARKED AGAINST
Gemma 2
Beyond Temperature paper tests hyperfitting LoRA on Gemma 2
Source finding
BENCHMARKED AGAINST
Qwen2.5
Beyond Temperature paper tests hyperfitting LoRA on Qwen2.5
Source finding

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OpenReview / ICML 2026 (via r/LocalLLaMA)

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