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Language Modeling on SlimPajama

2.97Perplexity (PPL)D³
-615.59123,559.69697,734.98511,910.2731May 25, 2024Sep 24, 2024Jan 24, 2025May 27, 2025Sep 26, 2025Jan 26, 2026May 29, 2026

Evaluation results

MethodLinks
D³Granularity=Ours, Architecture=GPT-2 Medium (355M), Training Tokens=100B2026.052.97————————
Dynamic LossGranularity=Sample-level, Architecture=GPT-2 Medium (355M), Training Tokens=100B2026.053.1————————
Uniform SamplingGranularity=Sample-level, Architecture=GPT-2 Medium (355M), Training Tokens=100B2026.053.13————————
DoReMiGranularity=Domain-level, Architecture=GPT-2 Medium (355M), Training Tokens=100B2026.053.3————————
DoGEGranularity=Domain-level, Architecture=GPT-2 Medium (355M), Training Tokens=100B2026.053.31————————
Data Mixing LawGranularity=Domain-level, Architecture=GPT-2 Medium (355M), Training Tokens=100B2026.054.5————————
RegMixGranularity=Domain-level, Architecture=GPT-2 Medium (355M), Training Tokens=100B2026.054.51————————
A³Model=LLaMA-2-13B (MHA-RoPE), Compression Ratio=10%2025.056.11————————
A³Model=LLaMA-3.1-70B (GQA-RoPE), Compression Ratio=10%2025.056.59————————
A³Model=LLaMA-2-7B (MHA-RoPE), Compression Ratio=10%2025.056.68————————
A³Model=LLaMA-2-13B (MHA-RoPE), Compression Ratio=20%2025.057.15————————
A3Compression=10%, Model=phi-3-medium-4k-instruct (14B)2025.057.28———————0.58
DRPruningFrom=7B, To=2.7B2024.117.4————————
Sheared LlamaFrom=7B, To=2.7B2024.117.64————————
A3Model=MPT-30B, CRatio=20%2025.057.71————————
ReShearedFrom=7B, To=2.7B2024.117.83————————
A³Model=LLaMA-2-7B (MHA-RoPE), Compression Ratio=20%2025.057.91————————
PaluModel=MPT-30B, CRatio=20%2025.057.91————————
SVD-LLMModel=LLaMA-2-13B (MHA-RoPE), Compression Ratio=10%2025.057.95————————
A3Compression=20%, Model=phi-3-medium-4k-instruct (14B)2025.058.16———————1.46
A3Model=MPT-30B, CRatio=40%2025.058.33————————
SVD-LLMCompression=10%, Model=phi-3-medium-4k-instruct (14B)2025.058.4———————1.69
SVD-LLMModel=LLaMA-3.1-70B (GQA-RoPE), Compression Ratio=10%2025.058.43————————
A3Model=MPT-7B, CRatio=20%2025.058.88————————
PaluModel=MPT-30B, CRatio=40%2025.058.99————————
MoEUTnumber of parameters=1040M, zero-shot=true2024.059.363882.590.238.164.639.158.7—
SVD-LLMModel=LLaMA-2-7B (MHA-RoPE), Compression Ratio=10%2025.059.49————————
A³Model=LLaMA-3.1-8B (GQA-RoPE), Compression Ratio=10%2025.059.52————————
Baselinenumber of parameters=1040M, zero-shot=true2024.059.5638.880.589.937.664.538.758.3—
A³Model=Ministral-3-8B, Compression=10%2025.059.66————————
SVD-LLMCompression=20%, Model=phi-3-medium-4k-instruct (14B)2025.059.67———————2.96
PaluModel=MPT-7B, CRatio=20%2025.059.67————————
SVD-LLMModel=LLaMA-2-13B (MHA-RoPE), Compression Ratio=20%2025.059.75————————
DRPruningFrom=7B, To=1.3B2024.119.83————————
A3Model=MPT-7B, CRatio=40%2025.059.9————————
A³Model=LLaMA-3.1-70B (GQA-RoPE), Compression Ratio=20%2025.0510.02————————
Sheared LlamaFrom=7B, To=1.3B2024.1110.05————————
ReShearedFrom=7B, To=1.3B2024.1110.42————————
SVD-LLMModel=LLaMA-3.1-70B (GQA-RoPE), Compression Ratio=20%2025.0510.44————————
MoEUTnumber of parameters=244M, zero-shot=true2024.0511.4730.780.286.83261.735.854.5—
Baselinenumber of parameters=244M, zero-shot=true2024.0511.5131.978.687.331.760.936.654.5—
PaluModel=MPT-7B, CRatio=40%2025.0511.51————————
CloverModel=MPT-30B, CRatio=20%2025.0511.52————————
A3Model=MPT-30B, CRatio=60%2025.0511.52————————
SVD-LLMModel=LLaMA-2-7B (MHA-RoPE), Compression Ratio=20%2025.0511.93————————
A³Model=Ministral-3-3B, Compression=10%2025.0512.15————————
A³Model=Ministral-3-8B, Compression=20%2025.0512.66————————
OPT-1.3BTraining tokens=300B2026.0313.11————————
OPT-1.3B FFFTraining tokens=26B, FFF depth (d)=4, Training regime=Fine-tuning (FT)2026.0313.37————————
A³Model=LLaMA-3.1-8B (GQA-RoPE), Compression Ratio=20%2025.0513.58————————
OPT-1.3B FFFTraining tokens=26B, FFF depth (d)=6, Training regime=Fine-tuning (FT)2026.0314.11————————
SVD-LLMModel=Ministral-3-8B, Compression=10%2025.0514.72————————
SVD-LLMModel=LLaMA-3.1-8B (GQA-RoPE), Compression Ratio=10%2025.0515.14————————
A3Model=MPT-7B, CRatio=60%2025.0515.34————————
PaluModel=MPT-30B, CRatio=60%2025.0515.59————————
MoEUTnumber of parameters=44M, zero-shot=true2024.0515.7719.875.982.12857.532.149.2—
OPT-1.3BTraining tokens=26B2026.0315.83————————
Baselinenumber of parameters=44M, zero-shot=true2024.0516.422072.880.727.55731.648.3—
OPT-1.3B FFFTraining tokens=26B, FFF depth (d)=4, Training regime=From scratch2026.0316.61————————
OPT-1.3B FFFTraining tokens=26B, FFF depth (d)=6, Training regime=From scratch2026.0317.57————————
CloverModel=MPT-30B, CRatio=40%2025.0518————————
SVD-LLMModel=Ministral-3-3B, Compression=10%2025.0518.27————————
A³Model=Ministral-3-3B, Compression=20%2025.0518.53————————
SVD-LLMModel=Ministral-3-8B, Compression=20%2025.0520.28————————
PaluModel=MPT-7B, CRatio=60%2025.0525.73————————
SVD-LLMModel=Ministral-3-3B, Compression=20%2025.0526.49————————
SVD-LLMModel=LLaMA-3.1-8B (GQA-RoPE), Compression Ratio=20%2025.0527.44————————
A3Model=MPT-30B, CRatio=80%2025.0537.09————————
CloverModel=MPT-7B, CRatio=20%2025.0548.11————————
CloverModel=MPT-30B, CRatio=60%2025.0554.97————————
PaluModel=MPT-30B, CRatio=80%2025.05211————————
CloverModel=MPT-7B, CRatio=40%2025.05383————————
A3Model=MPT-7B, CRatio=80%2025.05388————————
CloverModel=MPT-30B, CRatio=80%2025.05779————————
PaluModel=MPT-7B, CRatio=80%2025.055,270————————
CloverModel=MPT-7B, CRatio=60%2025.055,397————————
CloverModel=MPT-7B, CRatio=80%2025.0515,467————————