metadata

license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - refuelai/Llama-3-Refueled
  - cognitivecomputations/dolphin-2.9-llama3-8b
  - NousResearch/Hermes-2-Theta-Llama-3-8B
  - NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
  - Sao10K/L3-8B-Stheno-v3.2
  - cgato/L3-TheSpice-8b-v0.8.3
model-index:
  - name: ONeil-model_stock-8B
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: HuggingFaceH4/ifeval
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 67.86
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: BBH
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 36.41
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: hendrycks/competition_math
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 9.21
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 7.38
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MuSR (0-shot)
          type: TAUR-Lab/MuSR
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 10.97
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU-PRO (5-shot)
          type: TIGER-Lab/MMLU-Pro
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 28.87
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/ONeil-model_stock-8B
          name: Open LLM Leaderboard

merge

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

Merge Details

Merge Method

This model was merged using the Model Stock merge method using Sao10K/L3-8B-Stheno-v3.2 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: refuelai/Llama-3-Refueled
  - model: cognitivecomputations/dolphin-2.9-llama3-8b
  - model: cgato/L3-TheSpice-8b-v0.8.3
  - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
  - model: NousResearch/Hermes-2-Theta-Llama-3-8B
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2
normalize: false
int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	26.78
IFEval (0-Shot)	67.86
BBH (3-Shot)	36.41
MATH Lvl 5 (4-Shot)	9.21
GPQA (0-shot)	7.38
MuSR (0-shot)	10.97
MMLU-PRO (5-shot)	28.87