Model	CEval	CEvalC	CMMLU	CMMLUC	C-Avg	BBH	MLU	MLUP	O-Avg	Overall
Llama3.1-8B	48.3	12.8	51.1	14.1	13.9	65.2	65.4	35.5	45.9	29.9
Llama-3-SynE	57.7	22.3	57.1	22.8	22.8	61.9	64.0	32.6	42.9	32.9
Full Param Tune	59.0	40.2	60.2	44.3	43.8	64.8	64.9	35.0	45.4	44.6
Stack Expansion	56.0	32.7	55.2	33.4	33.3	62.3	65.6	35.3	44.8	39.1
Concat-Lerp*	57.1	34.8	57.0	37.4	37.1	64.4	64.6	35.8	45.9	41.5
Hybrid Expansion	58.9	44.7	57.9	44.3	44.4	65.1	65.7	36.9	46.8	45.6
Control LLM*	57.0	44.7	56.0	44.9	44.8	68.2	65.6	37.9	48.5	46.7

CEval: Chinese Evaluation
CEvalC: Chinese Evaluation (CoT - Chain of Thought)
CMMLU: Chinese MMLU
CMMLUC: Chinese MMLU (CoT)
C-Avg: Chinese - Size Weighted Average across CEval, CEvalC, CMMLU, and CMMLUC
BBH: BigBench Hard
MLU: MMLU (Massive Multitask Language Understanding)
MLUP: MMLU Pro
O-Avg: Original Capability - Size Weighted Average across BBH, MLU, and MLUP
Overall: Combined average across all tasks

ControlLLM/Llama-3.1-8B-SynE-Hybrid16

Control-LLM-Llama3.1-8B-SynE-Hybrid