Experiment for DARE(Drop and REscale), most of the delta parameters can be directly set to zeros without affecting the capabilities of SFT LMs and larger models can tolerate a higher proportion of discarded parameters.

weight_mask_rate: 0.85 / use_weight_rescale: True / mask_stratery: random / scaling_coefficient: 1.0

Model Average ARC HellaSwag MMLU TruthfulQA Winogrande GSM8K DROP
Intel/neural-chat-7b-v3-1 59.06 66.21 83.64 62.37 59.65 78.14 19.56 43.84
migtissera/SynthIA-7B-v1.3 57.11 62.12 83.45 62.65 51.37 78.85 17.59 43.76
bhenrym14/mistral-7b-platypus-fp16 56.89 63.05 84.15 64.11 45.07 78.53 17.36 45.92
jondurbin/airoboros-m-7b-3.1.2 56.24 61.86 83.51 61.91 53.75 77.58 13.87 41.2
uukuguy/speechless-code-mistral-orca-7b-v1.0 55.33 59.64 82.25 61.33 48.45 77.51 8.26 49.89
teknium/CollectiveCognition-v1.1-Mistral-7B 53.87 62.12 84.17 62.35 57.62 75.37 15.62 19.85
Open-Orca/Mistral-7B-SlimOrca 53.34 62.54 83.86 62.77 54.23 77.43 21.38 11.2
uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b 53.34 64.33 84.4 63.72 52.52 78.37 21.38 8.66
ehartford/dolphin-2.2.1-mistral-7b 53.06 63.48 83.86 63.28 53.17 78.37 21.08 8.19
teknium/CollectiveCognition-v1-Mistral-7B 52.55 62.37 85.5 62.76 54.48 77.58 17.89 7.22
HuggingFaceH4/zephyr-7b-alpha 52.4 61.01 84.04 61.39 57.9 78.61 14.03 9.82
ehartford/samantha-1.2-mistral-7b 52.16 64.08 85.08 63.91 50.4 78.53 16.98 6.13
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