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Language Modeling on WikiText-2

1.08Perplexity (PPL)Calibration-free SLEB
0.948961.833482.7183.60252Jun 1, 2023Nov 30, 2023May 31, 2024Nov 30, 2024May 31, 2025Nov 30, 2025Jun 1, 2026

Evaluation results

MethodLinks
Calibration-free SLEBBase Model=Qwen3-8B, Budget=800, Evals=666, # Removed=362026.051.08————————————————————————————————
TCN-SEQ-IBackbone=GP-VAE, tok/s=~ 90002025.121.61—————————————0.4773——————————————————
TCN-SEQ-CBackbone=GP-VAE, tok/s=~ 90002025.121.66—————————————0.5077——————————————————
TCN-SEQ-BBackbone=GP-VAE, tok/s=~ 89002025.121.73—————————————0.5455——————————————————
TCN-SEQ-JBackbone=GP-VAE, tok/s=~ 90002025.121.76—————————————0.5635——————————————————
TCN-SEQ-KBackbone=GP-VAE, tok/s=~ 90002025.121.82—————————————0.6005——————————————————
RTNAverage Bitwidth (bits)=2.1252026.032————————————————————————————————
Full PrecisionBackbone=Llama3-70B, Mixed-Precision=false, Bits=16, Quantizer Type=Uniform2026.022.59————————————————————————————————
UnprunedBackbone=Llama-3.1-70B, Sparsity=0%2026.042.79————————————————————————————————
FP16Model Family=LLaMA-3, Model Size=70B, Bits=162024.062.86————————————————————————————————
FP16W Quant.=None, Backbone=LLaMA-3-70B2025.112.86————————————————————————————————
Pretrained DenseWeight Update=None, Sparsity=0, Model Architecture=LLaMA-3, Model Size=70B2026.022.86————————————————————————————————
BaselineBackbone=LLaMA3-70B, Precision=FP162026.052.87————————————————————————————————
BaselineDifferential Privacy=None2025.122.95———————————————62.55————————————————
SA-ADP2025.123.05———————————————60.960.7697———————————————
Pretrained DenseWeight Update=None, Sparsity=0, Model Architecture=LLaMA-2, Model Size=70B2026.023.12————————————————————————————————
DenseModel=LLaMA-2 70B, Sparsity (%)=0.002025.093.319—————————————————————0——————————
FP16Model Family=LLaMA-2, Model Size=70B, Bits=162024.063.32————————————————————————————————
FP16W Quant.=None, Backbone=LLaMA-2-70B2025.113.32————————————————————————————————
FP16Model Family=Llama-2, Model Size=70B, Precision=FP162023.063.32————————————————————————————————
DenseSparsity pattern=Unstructured (50%), Model family=LLaMA-2, Model size=70B2026.063.32————————————————————————————————
DenseSparsity pattern=2:4 Pruning, Model family=LLaMA-2, Model size=70B2026.063.32————————————————————————————————
FP16Avg. Bit=16, Backbone=LLaMA2-70B2024.103.32————————————————————————————————
CMPQAvg. Bit=4, Backbone=LLaMA2-70B2024.103.39————————————————————————————————
AWQModel Family=Llama-2, Model Size=70B, Quantization=INT4, Group Size=1282023.063.41————————————————————————————————
AWQAvg. Bit=4, Backbone=LLaMA2-70B2024.103.41————————————————————————————————
GPTQModel Family=Llama-2, Model Size=70B, Quantization=INT4, Group Size=1282023.063.42————————————————————————————————
GPTQ-RModel Family=Llama-2, Model Size=70B, Quantization=INT4, Group Size=1282023.063.43————————————————————————————————
RTNModel Family=Llama-2, Model Size=70B, Quantization=INT4, Group Size=1282023.063.46————————————————————————————————
TORQBackbone=LLaMA3-70B2026.053.49————————————————————————————————
FP16Model Family=LLaMA, Model Size=65B, Precision=FP162023.063.53————————————————————————————————
QuIPAvg. Bit=4, Backbone=LLaMA2-70B2024.103.53————————————————————————————————
DenseModel=LLaMA 65B, Sparsity (%)=0.002025.093.531—————————————————————0——————————
SGDModel Architecture=RoBERTa2026.043.547————————————————————————————————
DenseSparsity pattern=Unstructured (50%), Model family=LLaMA, Model size=65B2026.063.56————————————————————————————————
DenseSparsity pattern=2:4 Pruning, Model family=LLaMA, Model size=65B2026.063.56————————————————————————————————
GPTQAvg. Bit=4, Backbone=LLaMA2-70B2024.103.59————————————————————————————————
AWQModel Family=LLaMA, Model Size=65B, Quantization=INT4, Group Size=1282023.063.62————————————————————————————————
ShiftAddLLMBits=3, Model Family=LLaMA-2, Model Size=70B, Group Size=1282024.063.64————————————————————————————————
SingleQuantW Quant.=RTN, Backbone=LLaMA-2-70B2025.113.65————————————————————————————————
GPTQModel Family=LLaMA, Model Size=65B, Quantization=INT4, Group Size=1282023.063.66————————————————————————————————
GPTQ-RModel Family=LLaMA, Model Size=65B, Quantization=INT4, Group Size=1282023.063.66————————————————————————————————
EMP-MagnitudeModel=LLaMA-2 70B, Sparsity (%)=36.662025.093.662—————————————————————0.343——————————
RTNModel Family=LLaMA, Model Size=65B, Quantization=INT4, Group Size=1282023.063.67————————————————————————————————
RTNAvg. Bit=4, Backbone=LLaMA2-70B2024.103.67————————————————————————————————
ScaleBITS + RTNBackbone=Llama3-70B, Mixed-Precision=true, Bits=3.1, Quantizer Type=Uniform2026.023.69————————————————————————————————
SpinQuantW Quant.=GPTQ, Backbone=LLaMA-2-70B2025.113.7————————————————————————————————
CMPQAvg. Bit=3, Backbone=LLaMA2-70B2024.103.7————————————————————————————————
ShiftAddLLM (Lat.)Model Family=LLaMA-2, Model Size=70B, Bits=3, Group Size=1282024.063.72————————————————————————————————
AWQModel Family=LLaMA-2, Model Size=70B, Bits=3, Group Size=1282024.063.74————————————————————————————————
AWQModel Family=Llama-2, Model Size=70B, Quantization=INT3, Group Size=1282023.063.74————————————————————————————————
AWQAvg. Bit=3, Backbone=LLaMA2-70B2024.103.74————————————————————————————————
AdaCubicModel Architecture=RoBERTa2026.043.756————————————————————————————————
OmniQuantBits=3, Model Family=LLaMA-2, Model Size=70B, Group Size=1282024.063.78————————————————————————————————
MergeQuantW Quant.=GPTQ, Backbone=LLaMA-2-70B2025.113.78————————————————————————————————
QuaRotW Quant.=GPTQ, Backbone=LLaMA-2-70B2025.113.79————————————————————————————————
DuQuantW Quant.=RTN, Backbone=LLaMA-2-70B2025.113.79————————————————————————————————
Ours (CVR+EC)Weight Update=Yes, Sparsity=50%, Model Architecture=LLaMA-2, Model Size=70B2026.023.81————————————————————————————————
SpinQuantW Quant.=RTN, Backbone=LLaMA-2-70B2025.113.82————————————————————————————————
EMP-WandaModel=LLaMA-2 70B, Sparsity (%)=40.322025.093.821—————————————————————0.502——————————
FP16/BF16Backbone=Mixtral-8x7B, Quantization=FP16/BF162026.053.84————————————————————————————————
QuIPAvg. Bit=3, Backbone=LLaMA2-70B2024.103.85————————————————————————————————
Wanda+ECWeight Update=Yes, Sparsity=50%, Model Architecture=LLaMA-2, Model Size=70B2026.023.86————————————————————————————————
GPTQ-RModel Family=Llama-2, Model Size=70B, Quantization=INT3, Group Size=1282023.063.86————————————————————————————————
EMP-MagnitudeModel=LLaMA 65B, Sparsity (%)=36.612025.093.865—————————————————————0.334——————————
OPTQModel Family=LLaMA-2, Model Size=70B, Bits=3, Group Size=1282024.063.88————————————————————————————————
Pretrained DenseWeight Update=None, Sparsity=0, Model Architecture=Qwen2.5, Model Size=72B2026.023.88————————————————————————————————
GPTQModel Family=Llama-2, Model Size=70B, Quantization=INT3, Group Size=1282023.063.88————————————————————————————————
GuidedQuantBackbone=Llama3-70B, Mixed-Precision=false, Bits=3, Quantizer Type=Non-uniform2026.023.9————————————————————————————————
AWQModel Family=LLaMA, Model Size=65B, Quantization=INT3, Group Size=1282023.063.95————————————————————————————————
WandaWeight Update=No, Sparsity=50%, Model Architecture=LLaMA-2, Model Size=70B2026.023.98————————————————————————————————
BaselineModel=Phi-3.5-MoE, W-bit / GS=FP16, Time (s)=-2026.043.98————————————————————————————————
RTNModel Family=Llama-2, Model Size=70B, Quantization=INT3, Group Size=1282023.063.98————————————————————————————————
LUT-GEMMModel Family=LLaMA-2, Model Size=70B, Bits=3, Group Size=1282024.064.01————————————————————————————————
WandaModel=LLaMA-2 70B, Sparsity (%)=50.002025.094.026—————————————————————0.707——————————
AWQBackbone=Mixtral-8x7B, Quantization=W4A162026.054.03————————————————————————————————
MiLoModel=Mixtral-8x7B, Avg.bit=3.42026.054.03————————————————————————————————
EMP-WandaModel=LLaMA 65B, Sparsity (%)=39.992025.094.06—————————————————————0.529——————————
SlimLLM-g128Backbone=Llama3-70B, Mixed-Precision=true, Bits=3.1, Quantizer Type=Uniform2026.024.08————————————————————————————————
CRePESparsity pattern=Unstructured (50%), Model family=LLaMA-2, Model size=70B2026.064.09————————————————————————————————
FP16Model Family=LLaMA, Model Size=30B, Precision=FP162023.064.1————————————————————————————————
FP16/BF16Backbone=LLaMA-30B, Quantization=FP16/BF162026.054.1————————————————————————————————
DenseModel=LLaMA 30B, Sparsity (%)=0.002025.094.101—————————————————————0——————————
RIASparsity pattern=Unstructured (50%), Model family=LLaMA-2, Model size=70B2026.064.11————————————————————————————————
TILEQ_sModel=Mixtral-8x7B, Avg.bit=3.162026.054.12————————————————————————————————
QuaRotW Quant.=RTN, Backbone=LLaMA-2-70B2025.114.14————————————————————————————————
BaselineModel=Mixtral-8x7B, W-bit / GS=FP16, Time (s)=–2026.044.14————————————————————————————————
GPTQModel Family=LLaMA, Model Size=65B, Quantization=INT3, Group Size=1282023.064.17————————————————————————————————
GPTQ-RModel Family=LLaMA, Model Size=65B, Quantization=INT3, Group Size=1282023.064.21————————————————————————————————
AWQModel Family=LLaMA, Model Size=30B, Quantization=INT4, Group Size=1282023.064.21————————————————————————————————
AWQBackbone=LLaMA-30B, Quantization=W4A162026.054.21————————————————————————————————
GPTQ-RModel Family=LLaMA, Model Size=30B, Quantization=INT4, Group Size=1282023.064.22————————————————————————————————
WandaSparsity pattern=Unstructured (50%), Model family=LLaMA-2, Model size=70B2026.064.22————————————————————————————————
RTNModel Family=LLaMA, Model Size=30B, Quantization=INT4, Group Size=1282023.064.23————————————————————————————————
Ours (CVR+EC)Weight Update=Yes, Sparsity=4:8, Model Architecture=LLaMA-2, Model Size=70B2026.024.24————————————————————————————————
RTNModel Family=LLaMA, Model Size=65B, Quantization=INT3, Group Size=1282023.064.24————————————————————————————————
GPTQModel Family=LLaMA, Model Size=30B, Quantization=INT4, Group Size=1282023.064.24————————————————————————————————
SparseGPTSparsity pattern=Unstructured (50%), Model family=LLaMA-2, Model size=70B2026.064.25————————————————————————————————
WandaModel=LLaMA 65B, Sparsity (%)=50.002025.094.267—————————————————————0.736——————————
FP16Model Backbone=LLaMA2-13B2025.124.356————————————————————————————————