README.md

metadata

license: other
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - jeiku/NarrativeNexus_7B
  - mlabonne/AlphaMonarch-7B
  - CultriX/NeuralTrix-bf16
  - jeiku/Cookie_7B
  - jeiku/Luna_7B
model-index:
  - name: This_is_fine_7B
    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: 70.31
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_7B
          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: 87.28
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_7B
          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: 64.51
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_7B
          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: 65.79
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_7B
          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: 81.61
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_7B
          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: 62.77
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/This_is_fine_7B
          name: Open LLM Leaderboard

Fine

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using mlabonne/AlphaMonarch-7B as a base.

Models Merged

The following models were included in the merge:

• jeiku/NarrativeNexus_7B
• CultriX/NeuralTrix-bf16
• jeiku/Cookie_7B
• jeiku/Luna_7B

Configuration

The following YAML configuration was used to produce this model:

merge_method: dare_ties
base_model: mlabonne/AlphaMonarch-7B
parameters:
  normalize: true
models:
  - model: jeiku/Luna_7B
    parameters:
      weight: 0.75
  - model: jeiku/Cookie_7B
    parameters:
      weight: 1
  - model: jeiku/NarrativeNexus_7B
    parameters:
      weight: 0.5
  - model: CultriX/NeuralTrix-bf16
    parameters:
      weight: 0.75
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      weight: 1           
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	72.05
AI2 Reasoning Challenge (25-Shot)	70.31
HellaSwag (10-Shot)	87.28
MMLU (5-Shot)	64.51
TruthfulQA (0-shot)	65.79
Winogrande (5-shot)	81.61
GSM8k (5-shot)	62.77