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Language Understanding on MMLU (0-shot)

70.46AccuracyToken Filtering
28.485639.382850.2861.1772Feb 7, 2024May 28, 2024Sep 17, 2024Jan 7, 2025Apr 28, 2025Aug 18, 2025Dec 8, 2025

Evaluation results

MethodLinks
Token FilteringPruning Ratio=20%, Model=Phi-4-14B, Zero-shot=true2025.1270.46——————————————————————————63.463.3482.0976.86
NAMEX - FullRouting Strategy=Stable - MoE, Evaluation Protocol=Zero-shot2025.1061.9——————————————————————————————
NAMEX - FullRouting Strategy=Linear, Evaluation Protocol=Zero-shot2025.1061.87——————————————————————————————
NAMEX - FullRouting Strategy=Cosine, Evaluation Protocol=Zero-shot2025.1061.85——————————————————————————————
EP - CAMEXRouting Strategy=Stable - MoE, Evaluation Protocol=Zero-shot2025.1061.6——————————————————————————————
EP - CAMEXRouting Strategy=Linear, Evaluation Protocol=Zero-shot2025.1061.54——————————————————————————————
EP - CAMEXRouting Strategy=Cosine, Evaluation Protocol=Zero-shot2025.1061.4——————————————————————————————
Qwen1.5 - MoERouting Strategy=Stable - MoE, Evaluation Protocol=Zero-shot2025.1061.35——————————————————————————————
Qwen1.5 - MoERouting Strategy=Linear, Evaluation Protocol=Zero-shot2025.1061.28——————————————————————————————
Qwen1.5 - MoERouting Strategy=Cosine, Evaluation Protocol=Zero-shot2025.1061.1——————————————————————————————
LORABackbone Model=Mistral-v0.1 7B, Precision=16-bit2024.0260.6——————————————————————————————
Pre-trainedBackbone Model=Mistral-v0.1 7B, Precision=16-bit2024.0260.2——————————————————————————————
L4QModel=Mistral-v0.1 7B, Precision=4-bit2024.0259——————————————————————————————
FP16Model=Vicuna-v1.5-13B, Quantization=None2024.0654.54——————————————————————————50.4843.762.7262.74
L4QBackbone Model=Mistral-v0.1 7B, Precision=3-bit2024.0254.5——————————————————————————————
L4QModel=Mistral-v0.1 7B, Precision=3-bit2024.0254.5——————————————————————————————
LORABackbone Model=LLaMA-1 33B, Precision=16-bit2024.0254.4——————————————————————————————
OmniQBackbone Model=Mistral-v0.1 7B, Precision=3-bit2024.0254.3——————————————————————————————
L4QModel=LLaMA-1 33B, Precision=4-bit2024.0253.3——————————————————————————————
Pre-trainedBackbone Model=LLaMA-1 33B, Precision=16-bit2024.0253——————————————————————————————
LLaMA2-13bBit=16, Foundation Model=LLaMA2-13b2024.0552.8——————————————————————————56.942.46155.6
LORABackbone Model=LLaMA-2 13B, Precision=16-bit2024.0252.5——————————————————————————————
LLM-QFABit=4, Foundation Model=LLaMA2-13b2024.0552.5——————————————————————————57.441.360.455.8
QAT-LORABackbone Model=Mistral-v0.1 7B, Precision=3&16-bit2024.0252.4——————————————————————————————
QA-LoRABit=4, Foundation Model=LLaMA2-13b2024.0552.3——————————————————————————56.941.560.454.9
QLORABackbone Model=Mistral-v0.1 7B, Precision=3&16-bit2024.0252.2——————————————————————————————
Pre-trainedBackbone Model=LLaMA-2 13B, Precision=16-bit2024.0252.1——————————————————————————————
L4QModel=LLaMA-2 13B, Precision=4-bit2024.0251.9——————————————————————————————
LLM-QFABit=3, Foundation Model=LLaMA2-13b2024.0551.3——————————————————————————56.340.358.854.6
GPTQBit=4, Foundation Model=LLaMA2-13b2024.0551.1——————————————————————————55.341.658.153.3
DuQuant+LWCModel=Vicuna-v1.5-13B, Quantization=W4A42024.0651.08——————————————————————————47.4840.1358.8657.83
DuQuantModel=Vicuna-v1.5-13B, Quantization=W4A42024.0650.94——————————————————————————46.6140.8258.7357.59
Token FilteringPruning Ratio=20%, Backbone=LLaMA-3-8B, Evaluation Protocol=zero-shot2025.1250.59——————————————————————————45.6543.256.4259.8
L4QBackbone Model=LLaMA-1 33B, Precision=3-bit2024.0250.5——————————————————————————————
GPTQBackbone Model=Mistral-v0.1 7B, Precision=3-bit2024.0250.5——————————————————————————————
QA-LORABackbone Model=Mistral-v0.1 7B, Precision=3-bit2024.0250.5——————————————————————————————
L4QModel=LLaMA-1 33B, Precision=3-bit2024.0250.5——————————————————————————————
OmniQBackbone Model=LLaMA-1 33B, Precision=3-bit2024.0250.2——————————————————————————————
QAT-LORABackbone Model=LLaMA-1 33B, Precision=3&16-bit2024.0250.1——————————————————————————————
GPTQBackbone Model=LLaMA-1 33B, Precision=3-bit2024.0250——————————————————————————————
QA-LoRABit=3, Foundation Model=LLaMA2-13b2024.0549.9——————————————————————————544057.152.5
SlimGPT w/oPruning Ratio=20%, Backbone=LLaMA-3-8B, Evaluation Protocol=zero-shot2025.1247.44——————————————————————————43.5140.8854.6352.91
L4QBackbone Model=LLaMA-2 13B, Precision=3-bit2024.0247.1——————————————————————————————
L4QModel=LLaMA-2 13B, Precision=3-bit2024.0247.1——————————————————————————————
QLORABackbone Model=LLaMA-2 13B, Precision=3&16-bit2024.0246.8——————————————————————————————
QA-LORABackbone Model=LLaMA-2 13B, Precision=3-bit2024.0246.4——————————————————————————————
GPTQBackbone Model=LLaMA-2 13B, Precision=3-bit2024.0246.3——————————————————————————————
OmniQBackbone Model=LLaMA-2 13B, Precision=3-bit2024.0246.3——————————————————————————————
QA-LORABackbone Model=LLaMA-1 33B, Precision=3-bit2024.0246.1——————————————————————————————
FLAPPruning Ratio=20%, Backbone=LLaMA-3-8B, Evaluation Protocol=zero-shot2025.1245.99——————————————————————————42.8141.4254.3247.69
QAT-LORABackbone Model=LLaMA-2 13B, Precision=3&16-bit2024.0245.9——————————————————————————————
LLM-QFABit=Avg. (2-4 bit), Foundation Model=LLaMA2-13b2024.0545.8——————————————————————————————
QA-LoRABit=4, Foundation Model=LLaMA2-7b2024.0545.7——————————————————————————49.737.551.447.8
QLORABackbone Model=LLaMA-1 33B, Precision=3&16-bit2024.0245.6——————————————————————————————
QA-LoRABit=Avg. (2-4 bit), Foundation Model=LLaMA2-13b2024.0545.3——————————————————————————————
LLM-QFABit=4, Foundation Model=LLaMA2-7b2024.0545.2——————————————————————————50.337.449.846.8
LORABackbone Model=LLaMA-1 13B, Precision=16-bit2024.0244.3——————————————————————————————
LORABackbone Model=LLaMA-2 7B, Precision=16-bit2024.0243.9——————————————————————————————
Pre-trainedBackbone Model=LLaMA-1 13B, Precision=16-bit2024.0243.6——————————————————————————————
LLaMA2-7bBit=16, Foundation Model=LLaMA2-7b2024.0543.6——————————————————————————48.335.248.845.8
L4QModel=LLaMA-1 13B, Precision=4-bit2024.0243.2——————————————————————————————
Pre-trainedBackbone Model=LLaMA-2 7B, Precision=16-bit2024.0241.6——————————————————————————————
LLM-QFABit=3, Foundation Model=LLaMA2-7b2024.0541.2——————————————————————————42.334.448.142.9
AtomModel=Vicuna-v1.5-13B, Quantization=W4A42024.0641.07——————————————————————————39.632.5446.0246.11
L4QModel=LLaMA-2 7B, Precision=4-bit2024.0240.9——————————————————————————————
DensePruning Ratio=0%, Model=Phi-4-14B, Zero-shot=true2025.1240.81——————————————————————————39.2133.1745.9945.41
DensePruning Ratio=0%, Backbone=LLaMA-3-8B, Evaluation Protocol=zero-shot2025.1240.81——————————————————————————39.2133.1745.9945.41
L4QBackbone Model=LLaMA-1 13B, Precision=3-bit2024.0240.7——————————————————————————————
L4QModel=LLaMA-1 13B, Precision=3-bit2024.0240.7——————————————————————————————
QA-LoRABit=3, Foundation Model=LLaMA2-7b2024.0540.5——————————————————————————43.333.744.842.9
GPTQBit=4, Foundation Model=LLaMA2-7b2024.0539.9——————————————————————————40.433.745.942.2
LLM-QFABit=Avg. (2-4 bit), Foundation Model=LLaMA2-7b2024.0539.6——————————————————————————————
QA-LoRABit=Avg. (2-4 bit), Foundation Model=LLaMA2-7b2024.0539.3——————————————————————————————
GPTQBit=3, Foundation Model=LLaMA2-13b2024.0539——————————————————————————4231.843.641.3
QAT-LORABackbone Model=LLaMA-1 13B, Precision=3&16-bit2024.0238.8——————————————————————————————
GPTQBit=Avg. (2-4 bit), Foundation Model=LLaMA2-13b2024.0537.9——————————————————————————————
QA-LORABackbone Model=LLaMA-1 13B, Precision=3-bit2024.0237.5——————————————————————————————
LORABackbone Model=LLaMA-1 7B, Precision=16-bit2024.0236.3——————————————————————————————
QLORABackbone Model=LLaMA-1 13B, Precision=3&16-bit2024.0236.1——————————————————————————————
LoftQBackbone Model=Mistral-v0.1 7B, Precision=3&16-bit2024.0235.8——————————————————————————————
L4QBackbone Model=LLaMA-2 7B, Precision=3-bit2024.0234.9——————————————————————————————
L4QModel=LLaMA-1 7B, Precision=4-bit2024.0234.9——————————————————————————————
L4QModel=LLaMA-2 7B, Precision=3-bit2024.0234.9——————————————————————————————
OmniQBackbone Model=LLaMA-1 13B, Precision=3-bit2024.0234.8——————————————————————————————
OmniQBackbone Model=LLaMA-2 7B, Precision=3-bit2024.0234.3——————————————————————————————
LLM-QFABit=2, Foundation Model=LLaMA2-13b2024.0533.5——————————————————————————34.530.33337.3
GPTQBackbone Model=LLaMA-1 13B, Precision=3-bit2024.0233.1——————————————————————————————
Token FilteringPruning Ratio=50%, Model=Phi-4-14B, Zero-shot=true2025.1233.06——————————————————————————29.6931.4334.6838.2
Pre-trainedBackbone Model=LLaMA-1 7B, Precision=16-bit2024.0232.5——————————————————————————————
QLORABackbone Model=LLaMA-2 7B, Precision=3&16-bit2024.0232.5——————————————————————————————
LLM-QFABit=2, Foundation Model=LLaMA2-7b2024.0532.5——————————————————————————33.728.736.332.9
QA-LoRABit=2, Foundation Model=LLaMA2-13b2024.0531.8——————————————————————————32.628.931.435.3
QA-LoRABit=2, Foundation Model=LLaMA2-7b2024.0531.7——————————————————————————32.627.235.633.2
QAT-LORABackbone Model=LLaMA-2 7B, Precision=3&16-bit2024.0231.5——————————————————————————————
GPTQBackbone Model=LLaMA-2 7B, Precision=3-bit2024.0231.3——————————————————————————————
QA-LORABackbone Model=LLaMA-2 7B, Precision=3-bit2024.0231——————————————————————————————
QAT-LORABackbone Model=LLaMA-1 7B, Precision=3&16-bit2024.0230.6——————————————————————————————
L4QBackbone Model=LLaMA-1 7B, Precision=3-bit2024.0230.6——————————————————————————————
L4QModel=LLaMA-1 7B, Precision=3-bit2024.0230.6——————————————————————————————
GPTQBit=Avg. (2-4 bit), Foundation Model=LLaMA2-7b2024.0530.1——————————————————————————————