List your company

Language Modeling on WikiText2 (val)

3.03Perplexity (PPL)TCN-SEQ-J
2.70044.92527.159.3748May 29, 2023Nov 28, 2023May 30, 2024Nov 30, 2024Jun 1, 2025Dec 2, 2025Jun 4, 2026

Evaluation results

MethodLinks
TCN-SEQ-JBackbone=GP-VAE2025.123.03———
TCN-SEQ-KBackbone=GP-VAE2025.123.05———
DenseRatio=0%, Backbone=LLaMA-2, Model Scale=70B2026.033.12———
TCN-SEQ-BBackbone=GP-VAE2025.123.27———
TCN-SEQ-CBackbone=GP-VAE2025.123.34———
TCN-SEQ-IBackbone=GP-VAE2025.123.35———
SoLARatio=20%, Backbone=LLaMA-2, Model Scale=70B2026.034.06———
SoLARatio=30%, Backbone=LLaMA-2, Model Scale=70B2026.034.44———
DenseSparsity=0%, Backbone=Llama-2-13B2025.054.57———
DenseSparsity=0%, Latency=-, Model=Llama-2-13B2025.054.57———
DenseRatio=0%, Backbone=LLaMA-2, Model Scale=13B2026.034.57———
DenseRatio=0%, Backbone=Mistral, Model Scale=7B2026.034.92———
DenseRatio=0%, Backbone=LLaMA-2, Model Scale=7B2026.035.11———
EvoPressSparsity=12.5%, Latency=29m, Model=Llama-2-13B2025.055.42———
EvoPressSparsity=50%, Latency=139m, Backbone=Llama-2-13B2025.055.45———
FP16Backbone=Llama-2-7B, Quantizable linear layers=2242026.035.5113.5267—
UniCuCoSparsity=50%, Latency=<1s, Backbone=Llama-2-13B2025.055.53———
UniformSparsity=50%, Latency=<1s, Backbone=Llama-2-13B2025.055.54———
RAMPBackbone=Llama-2-7B, Quantizable linear layers=2242026.035.543.68——
AWQ-4Backbone=Llama-2-7B, Quantizable linear layers=224, Quantization Bit-width=42026.035.63.961.1
OWLSparsity=50%, Latency=114m, Backbone=Llama-2-13B2025.055.61———
Q4_K_MBackbone=Llama-2-7B, Quantizable linear layers=224, Quantization Bit-width=42026.035.613.957.31.3
SoLARatio=20%, Backbone=LLaMA-2, Model Scale=13B2026.035.61———
QUIP#-4Backbone=Llama-2-7B, Quantizable linear layers=224, Quantization Bit-width=42026.035.623.961.4
Cosine (Window)Sparsity=12.5%, Latency=16s, Model=Llama-2-13B2025.055.67———
GPTQ-4Backbone=Llama-2-7B, Quantizable linear layers=224, Quantization Bit-width=42026.035.693.962.7
SliceGPTRatio=20%, Backbone=LLaMA-2, Model Scale=70B2026.035.76———
ShortGPTSparsity=12.5%, Latency=<1s, Model=Llama-2-13B2025.055.88———
FLAPRatio=20%, Backbone=LLaMA-2, Model Scale=13B2026.035.9———
UniCuCoSparsity=12.5%, Latency=<1s, Model=Llama-2-13B2025.055.94———
RTN-4Backbone=Llama-2-7B, Quantizable linear layers=224, Quantization Bit-width=42026.035.943.967.2
SVD-LLMRatio=20%, Backbone=LLaMA-2, Model Scale=70B2026.035.96———
Weight SubcloningSparsity=12.5%, Latency=<1s, Model=Llama-2-13B2025.055.97———
SoLARatio=20%, Backbone=Mistral, Model Scale=7B2026.036.06———
SVD-LLMRatio=20%, Backbone=LLaMA-2, Model Scale=13B2026.036.18———
SoLARatio=30%, Backbone=LLaMA-2, Model Scale=13B2026.036.31———
BolacoRatio=20%, Backbone=LLaMA-2, Model Scale=13B2026.036.34———
FP16Model Architecture=Llama-3-8B2025.126.41———
SoLARatio=20%, Backbone=LLaMA-2, Model Scale=7B2026.036.52———
FLAPRatio=20%, Backbone=LLaMA-2, Model Scale=7B2026.036.76———
CALMModel Architecture=Llama-3-8B2025.126.89———
SVD-LLMRatio=30%, Backbone=LLaMA-2, Model Scale=70B2026.036.95———
LLaMA-30B#Bits (W-A-KV)=16-16-162023.057———
NeUQIModel=LLaMA 2, Size=70B, Bits=22025.057.03———
FLAPRatio=30%, Backbone=LLaMA-2, Model Scale=13B2026.037.08———
FLAPRatio=20%, Backbone=Mistral, Model Scale=7B2026.037.11———
EvoPressSparsity=60%, Latency=138m, Backbone=Llama-2-13B2025.057.15———
EvoPressSparsity=25%, Latency=28.6m, Model=Llama-2-13B2025.057.2———
SVD-LLMRatio=20%, Backbone=Mistral, Model Scale=7B2026.037.26———
LLM-QAT#Bits (W-A-KV)=4-16-16, Model=LLaMA-30B2023.057.3———
BolacoRatio=20%, Backbone=LLaMA-2, Model Scale=7B2026.037.31———
SmoothQuantModel Architecture=Llama-3-8B2025.127.32———
OWLSparsity=60%, Latency=98m, Backbone=Llama-2-13B2025.057.33———
SoLARatio=30%, Backbone=Mistral, Model Scale=7B2026.037.38———
SpinQuantModel Architecture=Llama-3-8B2025.127.48———
UniCuCoSparsity=60%, Latency=<1s, Backbone=Llama-2-13B2025.057.6———
LLM-QAT#Bits (W-A-KV)=4-8-4, Model=LLaMA-30B2023.057.7———
SoLARatio=30%, Backbone=LLaMA-2, Model Scale=7B2026.037.81———
GPTQ#Bits (W-A-KV)=4-16-16, Model=LLaMA-30B2023.057.9———
SVD-LLMRatio=30%, Backbone=LLaMA-2, Model Scale=13B2026.037.93———
SVD-LLMRatio=20%, Backbone=LLaMA-2, Model Scale=7B2026.038.07———
SliceGPTRatio=30%, Backbone=LLaMA-2, Model Scale=70B2026.038.09———
AWQModel Architecture=Llama-3-8B2025.128.12———
UniformSparsity=60%, Latency=<1s, Backbone=Llama-2-13B2025.058.14———
SliceGPTRatio=20%, Backbone=LLaMA-2, Model Scale=13B2026.038.21———
Flash Linear AttentionModel scale=9B2026.068.21———
Multiplication-Only Matrix Inversion ApproximationModel scale=9B2026.068.21———
SliceGPTRatio=20%, Backbone=Mistral, Model Scale=7B2026.038.23———
FLAPRatio=20%, Backbone=LLaMA-2, Model Scale=70B2026.038.76———
GPTQModel Architecture=Llama-3-8B2025.128.81———
BolacoRatio=30%, Backbone=LLaMA-2, Model Scale=13B2026.038.83———
Flash Linear AttentionModel scale=4B2026.068.89———
Multiplication-Only Matrix Inversion ApproximationModel scale=4B2026.068.89———
RTN#Bits (W-A-KV)=4-8-4, Model=LLaMA-30B2023.058.9———
FLAPRatio=30%, Backbone=LLaMA-2, Model Scale=7B2026.038.91———
Cosine (Window)Sparsity=25%, Latency=24s, Model=Llama-2-13B2025.058.99———
FP16Model Architecture=Llama-3.2-3B2025.129.53———
LLM-QAT#Bits (W-A-KV)=4-16-16, Model=LLaMA-13B2023.059.6———
CALMModel Architecture=Llama-3.2-3B2025.129.63———
LLM-PrunerRatio=20%, Backbone=LLaMA-2, Model Scale=13B2026.039.67———
LLaMA-13B#Bits (W-A-KV)=16-16-162023.059.7———
SliceGPTRatio=20%, Backbone=LLaMA-2, Model Scale=7B2026.039.7———
SpinQuantModel Architecture=Llama-3.2-3B2025.129.75———
SmoothQuantModel Architecture=Llama-3.2-3B2025.129.8———
GPTQModel Architecture=Llama-3.2-3B2025.129.82———
AWQModel Architecture=Llama-3.2-3B2025.129.91———
LLM-QAT#Bits (W-A-KV)=4-8-4, Model=LLaMA-13B2023.0510.2———
EvoPressSparsity=70%, Latency=138m, Backbone=Llama-2-13B2025.0510.24———
UniCuCoSparsity=25%, Latency=<1s, Model=Llama-2-13B2025.0510.39———
LLaMA-7B#Bits (W-A-KV)=16-16-162023.0510.4———
FP16Model Architecture=Qwen1.5-1.5B2025.1210.5———
LLM-PrunerRatio=20%, Backbone=LLaMA-2, Model Scale=7B2026.0310.55———
GPTQ#Bits (W-A-KV)=4-16-16, Model=LLaMA-13B2023.0510.7———
NeUQIModel=Qwen 2.5, Size=72B, Bits=22025.0510.79———
FLAPRatio=30%, Backbone=LLaMA-2, Model Scale=70B2026.0310.8———
LLM-QAT#Bits (W-A-KV)=4-16-16, Model=LLaMA-7B2023.0510.9———
BF16 BaselineAvg. Bitwidth=16.0002025.0711.01———
Flash Linear AttentionModel scale=2B2026.0611.07———
Multiplication-Only Matrix Inversion ApproximationModel scale=2B2026.0611.07———
HPTQAvg. Bitwidth=4.1252025.0711.27———