README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - flammenai/flammen15-gutenberg-DPO-v1-7B
  - Nitral-AI/Visual-LaylelemonMaidRP-7B
  - Eric111/CatunaLaserPi
model-index:
  - name: LayleleFlamPi
    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: 42.84
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/LayleleFlamPi
          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: 31.21
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/LayleleFlamPi
          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: 5.59
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/LayleleFlamPi
          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: 4.7
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/LayleleFlamPi
          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: 16.57
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/LayleleFlamPi
          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: 23.26
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/LayleleFlamPi
          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 TIES merge method using flammenai/flammen15-gutenberg-DPO-v1-7B as a base.

Models Merged

The following models were included in the merge:

• Nitral-AI/Visual-LaylelemonMaidRP-7B
• Eric111/CatunaLaserPi

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Nitral-AI/Visual-LaylelemonMaidRP-7B
    parameters:
      density: 0.5
      weight: 0.8
  - model: flammenai/flammen15-gutenberg-DPO-v1-7B
    parameters:
      density: 0.5
      weight: 1.02272727255
  - model: Eric111/CatunaLaserPi
    parameters:
      density: 0.5
      weight: 0.875

merge_method: ties
base_model: flammenai/flammen15-gutenberg-DPO-v1-7B
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	20.69
IFEval (0-Shot)	42.84
BBH (3-Shot)	31.21
MATH Lvl 5 (4-Shot)	5.59
GPQA (0-shot)	4.70
MuSR (0-shot)	16.57
MMLU-PRO (5-shot)	23.26