README.md

metadata

license: cc-by-nc-4.0
tags:
  - merge
model-index:
  - name: Psyfighter2-Noromaid-ties-13B
    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: 61.86
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
          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: 84.58
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
          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: 57.04
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
          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: 50.66
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
          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: 75.37
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
          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: 27.29
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Psyfighter2-Noromaid-ties-13B
          name: Open LLM Leaderboard

Merge of KoboldAI/LLaMA2-13B-Psyfighter2 and NeverSleep/Noromaid-13b-v0.1.1

.yaml file for mergekit

models:
  - model: LLaMA2-13B-Psyfighter2
  - model: Noromaid-13b-v0.1.1
    parameters:
      density: 0.65
      weight: [0, 0.3, 0.7, 1]
merge_method: ties
base_model: LLaMA2-13B-Psyfighter2
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Metric	Value
Avg.	59.47
ARC (25-shot)	61.86
HellaSwag (10-shot)	84.58
MMLU (5-shot)	57.04
TruthfulQA (0-shot)	50.66
Winogrande (5-shot)	75.37
GSM8K (5-shot)	27.29

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	59.47
AI2 Reasoning Challenge (25-Shot)	61.86
HellaSwag (10-Shot)	84.58
MMLU (5-Shot)	57.04
TruthfulQA (0-shot)	50.66
Winogrande (5-shot)	75.37
GSM8k (5-shot)	27.29