README.md

metadata

library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix
  - ZeroXClem/Qwen2.5-7B-HomerCreative-Mix
model-index:
  - name: HomerCreativeAnvita-Mix-Qw7B
    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: 78.08
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
          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: 36.98
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
          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: 31.04
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
          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: 8.61
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
          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: 14.73
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
          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: 38.28
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/HomerCreativeAnvita-Mix-Qw7B
          name: Open LLM Leaderboard

QuantFactory/HomerCreativeAnvita-Mix-Qw7B-GGUF

This is quantized version of suayptalha/HomerCreativeAnvita-Mix-Qw7B created using llama.cpp

Original Model Card

Merged Model

This is a merge of pre-trained language models created using mergekit.

This model is currently ranked #1 on the Open LLM Leaderboard among models up to 13B parameters!

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix
• ZeroXClem/Qwen2.5-7B-HomerCreative-Mix

Configuration

The following YAML configuration was used to produce this model:

base_model: ZeroXClem/Qwen2.5-7B-HomerCreative-Mix
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - filter: self_attn
    value: [0.0, 0.5, 0.3, 0.7, 1.0]
  - filter: mlp
    value: [1.0, 0.5, 0.7, 0.3, 0.0]
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 28]
    model: ZeroXClem/Qwen2.5-7B-HomerCreative-Mix
  - layer_range: [0, 28]
    model: ZeroXClem/Qwen2.5-7B-HomerAnvita-NerdMix

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	34.62
IFEval (0-Shot)	78.08
BBH (3-Shot)	36.98
MATH Lvl 5 (4-Shot)	31.04
GPQA (0-shot)	8.61
MuSR (0-shot)	14.73
MMLU-PRO (5-shot)	38.28