metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - allknowingroger/Qwen2.5-slerp-14B
  - tanliboy/lambda-qwen2.5-14b-dpo-test
  - allknowingroger/Qwenslerp3-14B
  - EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
  - v000000/Qwen2.5-14B-Gutenberg-1e-Delta
  - rombodawg/Rombos-LLM-V2.6-Qwen-14b
  - Qwen/Qwen2.5-14B-Instruct
  - Qwen/Qwen2.5-14B
  - v000000/Qwen2.5-Lumen-14B
  - allknowingroger/Qwenslerp2-14B
model-index:
  - name: Qwen2.5-14B-MergeStock
    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: 56.85
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
          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: 51.01
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
          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: 27.34
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
          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: 16.44
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
          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: 17.85
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
          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: 48.84
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=CultriX/Qwen2.5-14B-MergeStock
          name: Open LLM Leaderboard
license: apache-2.0
language:
  - en
pipeline_tag: text-generation

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 Qwen/Qwen2.5-14B 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: Qwen/Qwen2.5-14B-Instruct
  - model: Qwen/Qwen2.5-14B
  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
  - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
  - model: allknowingroger/Qwenslerp2-14B
  - model: allknowingroger/Qwenslerp3-14B
  - model: allknowingroger/Qwen2.5-slerp-14B
  - model: v000000/Qwen2.5-Lumen-14B
  - model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta
  - model: tanliboy/lambda-qwen2.5-14b-dpo-test
base_model: Qwen/Qwen2.5-14B
merge_method: model_stock
parameters:
  normalize: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-14B-Instruct

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	36.39
IFEval (0-Shot)	56.85
BBH (3-Shot)	51.01
MATH Lvl 5 (4-Shot)	27.34
GPQA (0-shot)	16.44
MuSR (0-shot)	17.85
MMLU-PRO (5-shot)	48.84