README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
  - zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
model-index:
  - name: Gemma-2-Ataraxy-v4a-Advanced-9B
    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: 71.35
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B
          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: 42.74
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B
          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: 2.19
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B
          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: 12.53
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B
          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: 15.18
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B
          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: 36.77
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lemon07r/Gemma-2-Ataraxy-v4a-Advanced-9B
          name: Open LLM Leaderboard

Gemma-2-Ataraxy-v4a-Advanced-9B

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
• zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25

Configuration

The following YAML configuration was used to produce this model:

base_model: lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
dtype: bfloat16
merge_method: slerp
parameters:
  t: 0.25
slices:
- sources:
  - layer_range: [0, 42]
    model: lemon07r/Gemma-2-Ataraxy-v3-Advanced-9B
  - layer_range: [0, 42]
    model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	30.13
IFEval (0-Shot)	71.35
BBH (3-Shot)	42.74
MATH Lvl 5 (4-Shot)	2.19
GPQA (0-shot)	12.53
MuSR (0-shot)	15.18
MMLU-PRO (5-shot)	36.77