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Accuracy on AIME 24 (Reasoning)

83.33Accuracy on AIME 24

TF-TTCL

Updated 2d ago

Evaluation Results

Method	Links
TF-TTCL 2026.04		83.33
AWQ 2025.11		80
TF-GRPO 2026.04		80
ParoQuant 2025.11		77.8
QTIP 2025.11		76.7
TF-TTCL 2026.04		76.67
FP16 2025.11		75.6
FP16 2025.11		75.6
ParoQuant 2025.11		75.6
ParoQuant 2025.11		73.3
FP16 2025.11		73.3
QTIP 2025.11		72.2
AWQ 2025.11		72.2
E-QAT 2025.11		71.1
Chain-of-Thought 2026.04		70
TF-GRPO 2026.04		70
E-QAT 2025.11		68.9
QTIP 2025.11		67.8
Base LLM 2026.04		66.67
DS-Qwen 14B 2025.05		63.33
AWQ 2025.11		62.2
Layer-wise Caprese 2025.05		61.67
CATS 2025.05		58.34
E2E Caprese 2025.05		58.34
E-QAT 2025.11		53.3
DS-Qwen 7B 2025.05		47.5
FP16 2025.11		42.2
Layer-wise Caprese 2025.05		41.67
Chain-of-Thought 2026.04		40
E2E Caprese 2025.05		39.17
QTIP 2025.11		37.8
ParoQuant 2025.11		36.6
Layer-wise Caprese 2025.05		35
AWQ 2025.11		34.4
CATS 2025.05		34.17
E2E Caprese 2025.05		33.33
GRIFFIN 2025.05		32.5
E-QAT 2025.11		32.2
DS-Qwen 1.5B 2025.05		30
E2E Caprese 2025.05		30
Base LLM 2026.04		30
Layer-wise Caprese 2025.05		29.17
GRIFFIN 2025.05		21.67
E2E Caprese 2025.05		20.83
Layer-wise Caprese 2025.05		15.83
CATS 2025.05		11.67
E2E Caprese 2025.05		6.67
GRIFFIN 2025.05		2.5
Layer-wise Caprese 2025.05		2.5