README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - Locutusque/StockQwen-2.5-7B
  - djuna/Q2.5-Fuppavy-7B
  - fblgit/cybertron-v4-qw7B-MGS
  - happzy2633/qwen2.5-7b-ins-v3
model-index:
  - name: Q2.5-Partron-7B
    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: 73.21
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
          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: 35.26
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
          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: 0.08
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
          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: 6.38
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
          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: 11.07
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
          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: 36.47
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Partron-7B
          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 djuna/Q2.5-Fuppavy-7B as a base.

Models Merged

The following models were included in the merge:

• Locutusque/StockQwen-2.5-7B
• fblgit/cybertron-v4-qw7B-MGS
• happzy2633/qwen2.5-7b-ins-v3

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Locutusque/StockQwen-2.5-7B
    parameters:
      weight: 0.5
      density: 0.5
  - model: happzy2633/qwen2.5-7b-ins-v3
    parameters:
      weight: 0.3
      density: 1
  - model: fblgit/cybertron-v4-qw7B-MGS
    parameters:
      weight: 1
      density: 0.8
merge_method: della
base_model: djuna/Q2.5-Fuppavy-7B
parameters:
  epsilon: 0.04
  lambda: 1.05
dtype: float32
out_dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	27.08
IFEval (0-Shot)	73.21
BBH (3-Shot)	35.26
MATH Lvl 5 (4-Shot)	0.08
GPQA (0-shot)	6.38
MuSR (0-shot)	11.07
MMLU-PRO (5-shot)	36.47