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Common Sense Reasoning on Hellaswag

93.87AccuracyFlexora
66.757273.796180.83587.8739Aug 20, 2024Nov 26, 2024Mar 5, 2025Jun 12, 2025Sep 19, 2025Dec 27, 2025Apr 5, 2026

Evaluation results

MethodLinks
FlexoraLoRA Rank (r)=322024.0893.87
FlexoraLoRA Rank (r)=162024.0893.71
FlexoraLoRA Rank (r)=82024.0893.62
FlexoraFine-tuning Strategy=LoRA, Enhanced=Flexora2024.0893.62
Flexora(w/ Base Model)Backbone=Meta-Llama-3-8B, Model variant=Base, Adaptation=Flexora2024.0893.62
Flexora(w/ Instruct Model)Backbone=Meta-Llama-3-8B-Instruct, Model variant=Instruct, Adaptation=Flexora2024.0893.53
SDAR-30B-A3Bgeneration length=optimal, block length=optimal, denoising steps=optimal2026.0492.81
LoRA-dropLoRA Rank (r)=82024.0891.86
FlexoraFine-tuning Strategy=Full Fine-Tuning, Enhanced=Flexora2024.0891.32
Random (Greedy)Selection=randomly selected layers, LoRA Rank (r)=82024.0891.15
VeRALoRA Rank (r)=82024.0890.98
Full FTFine-tuning protocol=full parameter fine-tuning2024.0890.53
Full FTFine-tuning Strategy=Full Fine-Tuning2024.0890.53
AdaLoRAro=4, LoRA Rank (r)=82024.0890.17
LoRALoRA Rank (r)=322024.0890.01
LoRALoRA Rank (r)=162024.0889.99
LoRALoRA Rank (r)=82024.0889.72
LoRAFine-tuning Strategy=LoRA2024.0889.72
Instruct ModelBackbone=Meta-Llama-3-8B-Instruct, Model variant=Instruct2024.0889.38
LoRA-SPLoRA Rank (r)=82024.0889.37
LoRA-FALoRA Rank (r)=82024.0889.16
LoRAPruneRatio=0.5, LoRA Rank (r)=82024.0888.42
Qwen-3-30B-A3BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0288.2
SDAR-8B-Chatgeneration length=optimal, block length=optimal, denoising steps=optimal2026.0487.59
Qwen-3-32BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0287.4
Qwen-3-14BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0286.7
Evo 8BPost-training=SFT, Number of shots=02026.0286.4
Llama-3.3-70BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0286.3
LFPO (All Loss)Base Model=LLaDA 8B, Training Algorithm=LFPO (All Loss)2026.0385.7
AGRPOBase Model=LLaDA 8B, Training Algorithm=AGRPO2026.0385.1
BD3-LM 7BPost-training=SFT+RL, Number of shots=02026.0284.8
Gemma-3-27BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0284.5
FP16Model=Qwen2.5-14B2026.0384.34
LFPO (Neg. Only)Base Model=LLaDA 8B, Training Algorithm=LFPO (Neg. Only)2026.0384.3
LFPO (Pos. Only)Base Model=LLaDA 8B, Training Algorithm=LFPO (Pos. Only)2026.0384.2
Mistral-3.2-24BOpenness=Open-weights, Regional Origin=European, Post-training=Instruction-tuned2026.0284
Gemma-3-12BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0283.2
SPGBase Model=LLaDA 8B, Training Algorithm=SPG2026.0383.1
coupled-GRPOBase Model=LLaDA 8B, Training Algorithm=coupled-GRPO2026.0382.5
LLaDA2.0-minigeneration length=optimal, block length=optimal, denoising steps=optimal2026.0482.35
UniGRPOBase Model=LLaDA 8B, Training Algorithm=UniGRPO2026.0382.3
FP16Model=Llama-2-13B2026.0382.22
Qwen2.5 7BPost-training=SFT+RL, Number of shots=02026.0282.2
FP16Backbone=Llama-3.1-8B2026.0381.97
FP16Backbone=Qwen2.5-7B2026.0380.22
diffu-GRPOBase Model=LLaDA 8B, Training Algorithm=diffu-GRPO2026.0380.1
Llama-2#Param=6.9B, Training Tokens=2T, Shots=10-shot2024.1078.6
LLaDA2.1-minigeneration length=optimal, block length=optimal, denoising steps=optimal2026.0478
NSDSModel=Qwen2.5-14B2026.0377.34
DIRBackbone=Llama3.1-8B-Instruct2025.1277.33
BaseBase Model=Llama3.1-8B-Instruct, Evaluation Protocol=0-shot2026.0277.21
ALBMBase Model=Llama3.1-8B-Instruct, Evaluation Protocol=0-shot2026.0277.21
BaseBackbone=Llama3.1-8B-Instruct2025.1277.21
ALBMBackbone=Llama3.1-8B-Instruct2025.1277.21
PoEBase Model=Llama3.1-8B-Instruct, Evaluation Protocol=0-shot2026.0277.08
PoEBackbone=Llama3.1-8B-Instruct2025.1277.08
NSDSModel=Llama-2-13B2026.0376.86
InfoRMBase Model=Llama3.1-8B-Instruct, Evaluation Protocol=0-shot2026.0276.78
InfoRMBackbone=Llama3.1-8B-Instruct2025.1276.78
KurtosisModel=Qwen2.5-14B2026.0376.58
ZDModel=Qwen2.5-14B2026.0376.49
SKBase Model=Llama3.1-8B-Instruct, Evaluation Protocol=0-shot2026.0276.42
SKBackbone=Llama3.1-8B-Instruct2025.1276.42
KurtBoostModel=Llama-2-13B2026.0375.95
OLMo-3.1-32BOpenness=Fully-open, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0275.8
LLaMA3 8BPost-training=SFT+RL, Number of shots=02026.0275.5
MSEModel=Qwen2.5-14B2026.0375.37
LLaDA-8B-Instructgeneration length=optimal, block length=optimal, denoising steps=optimal2026.0475.3
EWQModel=Llama-2-13B2026.0375.11
SKBase Model=OpenRLHF-Llama3-8B-SFT, Evaluation Protocol=0-shot2026.0274.76
SKBackbone=OpenRLHF-Llama3-8B-SFT2025.1274.76
BNRMBase Model=Llama3.1-8B-Instruct, Evaluation Protocol=0-shot2026.0274.66
ALBMBase Model=OpenRLHF-Llama3-8B-SFT, Evaluation Protocol=0-shot2026.0274.63
ALBMBackbone=OpenRLHF-Llama3-8B-SFT2025.1274.63
Apertus-70BOpenness=Fully-open, Regional Origin=European, Post-training=Instruction-tuned2026.0274.6
LLaDA 8BPost-training=SFT, Number of shots=02026.0274.6
DIRBackbone=OpenRLHF-Llama3-8B-SFT2025.1274.52
EWQModel=Qwen2.5-14B2026.0374.52
ZDModel=Llama-2-13B2026.0374.34
MSEModel=Llama-2-13B2026.0373.27
LPBase Model=Llama3.1-8B-Instruct, Evaluation Protocol=0-shot2026.0273.15
LPBackbone=Llama3.1-8B-Instruct2025.1273.15
BaseBase Model=OpenRLHF-Llama3-8B-SFT, Evaluation Protocol=0-shot2026.0272.51
PoEBase Model=OpenRLHF-Llama3-8B-SFT, Evaluation Protocol=0-shot2026.0272.51
LPBase Model=OpenRLHF-Llama3-8B-SFT, Evaluation Protocol=0-shot2026.0272.51
BaseBackbone=OpenRLHF-Llama3-8B-SFT2025.1272.51
PoEBackbone=OpenRLHF-Llama3-8B-SFT2025.1272.51
LPBackbone=OpenRLHF-Llama3-8B-SFT2025.1272.51
InfoRMBase Model=OpenRLHF-Llama3-8B-SFT, Evaluation Protocol=0-shot2026.0272.12
InfoRMBackbone=OpenRLHF-Llama3-8B-SFT2025.1272.12
NSDSBackbone=Qwen2.5-7B2026.0371.56
Sheared-Llama#Param=2.7B, Training Tokens=50B, Shots=10-shot2024.1070.8
ZDBackbone=Qwen2.5-7B2026.0370.45
LLaDA 8BBase Model=LLaDA 8B, Training Algorithm=None2026.0370.3
KurtBoostBackbone=Qwen2.5-7B2026.0369.92
EuroLLM-22BOpenness=Fully-open, Regional Origin=European, Post-training=Instruction-tuned2026.0269.7
NSDSBackbone=Llama-3.1-8B2026.0369.67
Read-ME#Param=4.7B-17B, Training Tokens=1B, Shots=10-shot2024.1068.5
KurtBoostBackbone=Llama-3.1-8B2026.0368.22
ARMADALoss Function=L_cosine, Teacher Model=Stable Diffusion, Student Model=LLaMA-7B, Zero-shot=true2026.0367.8