README.md

metadata

license: llama2
model-index:
  - name: neural-chat-7b-v3-1-dare-0.85
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: AI2 Reasoning Challenge (25-Shot)
          type: ai2_arc
          config: ARC-Challenge
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: acc_norm
            value: 61.95
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/neural-chat-7b-v3-1-dare-0.85
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HellaSwag (10-Shot)
          type: hellaswag
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc_norm
            value: 83.84
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/neural-chat-7b-v3-1-dare-0.85
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU (5-Shot)
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 64.43
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/neural-chat-7b-v3-1-dare-0.85
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: TruthfulQA (0-shot)
          type: truthful_qa
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: mc2
            value: 44.9
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/neural-chat-7b-v3-1-dare-0.85
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Winogrande (5-shot)
          type: winogrande
          config: winogrande_xl
          split: validation
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 79.16
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/neural-chat-7b-v3-1-dare-0.85
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GSM8k (5-shot)
          type: gsm8k
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 42.15
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=uukuguy/neural-chat-7b-v3-1-dare-0.85
          name: Open LLM Leaderboard

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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	62.74
AI2 Reasoning Challenge (25-Shot)	61.95
HellaSwag (10-Shot)	83.84
MMLU (5-Shot)	64.43
TruthfulQA (0-shot)	44.90
Winogrande (5-shot)	79.16
GSM8k (5-shot)	42.15