README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - AIDC-AI/Marco-o1
  - fblgit/cybertron-v4-qw7B-UNAMGS
  - rombodawg/Rombos-LLM-V2.5-Qwen-7b
  - Qwen/Qwen2.5-7B-Instruct
  - bunnycore/Qwen-2.1-7b-Persona-lora_model
model-index:
  - name: QwenMosaic-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: 58.19
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 36.75
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 8.46
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 1.45
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 10.21
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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: 36.78
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/QwenMosaic-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 linear merge method.

Models Merged

The following models were included in the merge:

• AIDC-AI/Marco-o1
• fblgit/cybertron-v4-qw7B-UNAMGS
• rombodawg/Rombos-LLM-V2.5-Qwen-7b
• Qwen/Qwen2.5-7B-Instruct + bunnycore/Qwen-2.1-7b-Persona-lora_model

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
    parameters:
      weight: 1.0
  - model: AIDC-AI/Marco-o1
    parameters:
      weight: 1.0
  - model: fblgit/cybertron-v4-qw7B-UNAMGS
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-7B-Instruct+bunnycore/Qwen-2.1-7b-Persona-lora_model
    parameters:
      weight: 1.0
merge_method: linear
normalize: false
int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	25.31
IFEval (0-Shot)	58.19
BBH (3-Shot)	36.75
MATH Lvl 5 (4-Shot)	8.46
GPQA (0-shot)	1.45
MuSR (0-shot)	10.21
MMLU-PRO (5-shot)	36.78