uukuguy/SynthIA-7B-v1.3-dare-0.85

• AWQ model(s) for GPU inference.
• GPTQ models for GPU inference, with multiple quantisation parameter options.
• 2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference

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