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Language Modeling on C4 (Perplexity, Memory)

9.44PerplexityMeta-Llama-3-8B Dense
7.462420.811234.1647.5088Jun 3, 2025Jul 18, 2025Sep 1, 2025Oct 17, 2025Dec 1, 2025Jan 15, 2026Mar 2, 2026

Evaluation results

MethodLinks
Meta-Llama-3-8B Dense2026.039.44—
3BASiL-TMConfig=4:8+64LR, One-shot=true2026.0313.02—
3BASiLConfig=4:8+64LR, One-shot=true2026.0313.74—
Hassle-free-ALPSConfig=4:8+64LR, One-shot=true2026.0314.04—
3BASiL-TMConfig=2:4+64LR, One-shot=true2026.0314.34—
Hassle-free-SparseGPTConfig=4:8+64LR, One-shot=true2026.0314.65—
PAMMModel size=1B, Rank (r)=1/128, Training tokens=13.1B2025.0615.0178
PAMMModel size=1B, Rank (r)=1/256, Training tokens=13.1B2025.0615.0642
PAMMModel size=1B, Rank (r)=1/512, Training tokens=13.1B2025.0615.3624
Full RankModel size=1B, Training tokens=13.1B2025.0615.563
3BASiLConfig=2:4+64LR, One-shot=true2026.0315.76—
Hassle-free-ALPSConfig=2:4+64LR, One-shot=true2026.0316.15—
OATSConfig=4:8+64LR, One-shot=true2026.0316.38—
Hassle-free-SparseGPTConfig=2:4+64LR, One-shot=true2026.0317.77—
3BASiL-TMConfig=3:8+64LR, One-shot=true2026.0318.11—
PAMMModel size=350M, Rank (r)=1/128, Training tokens=6.4B2025.0618.442
PAMMModel size=350M, Rank (r)=1/256, Training tokens=6.4B2025.0618.4824
PAMMModel size=350M, Rank (r)=1/512, Training tokens=6.4B2025.0618.4915
Full RankModel size=350M, Training tokens=6.4B2025.0618.81.5
OATSConfig=2:4+64LR, One-shot=true2026.0321.59—
3BASiLConfig=3:8+64LR, One-shot=true2026.0323.07—
Hassle-free-ALPSConfig=3:8+64LR, One-shot=true2026.0323.93—
Hassle-free-SparseGPTConfig=3:8+64LR, One-shot=true2026.0329.32—
Full RankModel size=60M, Training tokens=1.1B2025.0630.97256
PAMMModel size=60M, Rank (r)=1/128, Training tokens=1.1B2025.0631.948
PAMMModel size=60M, Rank (r)=1/256, Training tokens=1.1B2025.0632.185
PAMMModel size=60M, Rank (r)=1/512, Training tokens=1.1B2025.0632.533.5
OATSConfig=3:8+64LR, One-shot=true2026.0358.88—