metadata

base_model:
  - YOYO-AI/Qwen2.5-14B-it-restore
  - marcuscedricridia/Cheng-2-Ingredient4
  - marcuscedricridia/Cheng-2-Ingredient1
  - arcee-ai/Virtuoso-Small-v2
  - marcuscedricridia/Cheng-2-Ingredient2
  - marcuscedricridia/Cheng-2-Ingredient3
library_name: transformers
tags:
  - mergekit
  - merge
model-index:
  - name: Cheng-2
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: wis-k/instruction-following-eval
          split: train
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 83.37
            name: averaged accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=marcuscedricridia%2FCheng-2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: SaylorTwift/bbh
          split: test
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 49.98
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=marcuscedricridia%2FCheng-2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: lighteval/MATH-Hard
          split: test
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 54.38
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=marcuscedricridia%2FCheng-2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          split: train
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 12.75
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=marcuscedricridia%2FCheng-2
          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: 12.02
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=marcuscedricridia%2FCheng-2
          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: 44.59
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=marcuscedricridia%2FCheng-2
          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 Model Stock merge method using YOYO-AI/Qwen2.5-14B-it-restore as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: model_stock  
base_model: YOYO-AI/Qwen2.5-14B-it-restore  
models:  
  - model: marcuscedricridia/Cheng-2-Ingredient1
  - model: marcuscedricridia/Cheng-2-Ingredient2
  - model: marcuscedricridia/Cheng-2-Ingredient3
  - model: marcuscedricridia/Cheng-2-Ingredient4
  - model: arcee-ai/Virtuoso-Small-v2
dtype: bfloat16  
tokenizer_source: base  
int8_mask: true  
normalize: true  
name: Cheng-2

Open LLM Leaderboard Evaluation Results

Detailed results can be found here! Summarized results can be found here!

Metric	Value (%)
Average	42.85
IFEval (0-Shot)	83.37
BBH (3-Shot)	49.98
MATH Lvl 5 (4-Shot)	54.38
GPQA (0-shot)	12.75
MuSR (0-shot)	12.02
MMLU-PRO (5-shot)	44.59