metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - gz987/qwen2.5-7b-cabs-v0.3
  - ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
  - bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
  - Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
  - Qwen/Qwen2.5-7B-Instruct
  - bunnycore/Qwen-2.5-7b-s1k-lora_model
  - gz987/qwen2.5-7b-cabs-v0.3
  - bunnycore/Qwen-2.5-7b-rp-lora
  - Qwen/Qwen2.5-7B-Instruct
  - ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
model-index:
  - name: Blabbertron-1.0
    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: 74.33
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
          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: 36.05
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
          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: 49.24
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
          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: 6.94
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
          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: 13.51
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
          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: 37.27
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Blabbertron-1.0
          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 Qwen/Qwen2.5-7B-Instruct + ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3 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/Qwen2.5-7B-Instruct+bunnycore/Qwen-2.5-7b-s1k-lora_model
    parameters:
      weight: 0.3
  - model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
  - model: bunnycore/Qwen2.5-7B-Instruct-Merge-Stock-v0.1
  - model: gz987/qwen2.5-7b-cabs-v0.3+ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
  - model: gz987/qwen2.5-7b-cabs-v0.3+bunnycore/Qwen-2.5-7b-rp-lora
base_model: Qwen/Qwen2.5-7B-Instruct+ngxson/LoRA-Qwen2.5-7B-Instruct-abliterated-v3
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.	36.22
IFEval (0-Shot)	74.33
BBH (3-Shot)	36.05
MATH Lvl 5 (4-Shot)	49.24
GPQA (0-shot)	6.94
MuSR (0-shot)	13.51
MMLU-PRO (5-shot)	37.27