README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - Qwen/Qwen2.5-7B-Instruct
  - bunnycore/Qwen-2.5-7B-R1-Stock
  - Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
  - suayptalha/Clarus-7B-v0.3
  - bunnycore/Qwen-2.5-7b-s1k-lora_model
  - Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
  - bunnycore/Qwen-2.5-7b-s1k-lora_model
  - bunnycore/QandoraExp-7B
model-index:
  - name: Qwen2.5-7B-Instruct-Merge-Stock-v0.1
    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: 75.09
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
          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: 36.4
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
          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: 48.94
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
          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: 7.16
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
          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: 11.69
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
          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: 37.59
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
          name: Open LLM Leaderboard

Thinking Mode:

Think about the reasoning process in the mind first, then provide the answer.
The reasoning process should be wrapped within <think> </think> tags, then provide the answer after that, i.e., <think> reasoning process here </think> answer.

Merge Method

This model was merged using the Model Stock merge method using Qwen/Qwen2.5-7B-Instruct as a base.

Models Merged

The following models were included in the merge:

• bunnycore/Qwen-2.5-7B-R1-Stock
• Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
• suayptalha/Clarus-7B-v0.3 + bunnycore/Qwen-2.5-7b-s1k-lora_model
• Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview + bunnycore/Qwen-2.5-7b-s1k-lora_model
• bunnycore/QandoraExp-7B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview+bunnycore/Qwen-2.5-7b-s1k-lora_model
    parameters:
      weight: 0.5
  - model: bunnycore/QandoraExp-7B
  - model: bunnycore/Qwen-2.5-7B-R1-Stock
  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
  - model: suayptalha/Clarus-7B-v0.3+bunnycore/Qwen-2.5-7b-s1k-lora_model
base_model: Qwen/Qwen2.5-7B-Instruct
merge_method: model_stock
parameters:
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-7B-Instruct

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	36.14
IFEval (0-Shot)	75.09
BBH (3-Shot)	36.40
MATH Lvl 5 (4-Shot)	48.94
GPQA (0-shot)	7.16
MuSR (0-shot)	11.69
MMLU-PRO (5-shot)	37.59