metadata

license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - DreadPoor/LemonP-8B-Model_Stock
  - DreadPoor/Heart_Stolen1.1-8B-Model_Stock
  - unsloth/Meta-Llama-3.1-8B
  - DreadPoor/Aspire_1.3-8B_model-stock
model-index:
  - name: L3.1-BaeZel-8B-Della
    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: 51.8
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della
          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: 35.16
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della
          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: 16.92
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della
          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: 9.28
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della
          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: 11.6
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della
          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: 32.25
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/L3.1-BaeZel-8B-Della
          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 della merge method using unsloth/Meta-Llama-3.1-8B 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: DreadPoor/Aspire_1.3-8B_model-stock
    parameters:
      weight: 1.0
  - model: DreadPoor/LemonP-8B-Model_Stock
    parameters:
      weight: 1.0
  - model: DreadPoor/Heart_Stolen1.1-8B-Model_Stock
    parameters:
      weight: 1.0
merge_method: della
base_model: unsloth/Meta-Llama-3.1-8B
parameters:
  density: 1
  lambda: 1.05
  epsilon: 0.04
  normalize: true
  int8_mask: true
dtype: float32
out_dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	26.17
IFEval (0-Shot)	51.80
BBH (3-Shot)	35.16
MATH Lvl 5 (4-Shot)	16.92
GPQA (0-shot)	9.28
MuSR (0-shot)	11.60
MMLU-PRO (5-shot)	32.25