synergetic/FrankenQwen2.5-14B

merge

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

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• rombodawg/Rombos-LLM-V2.6-Qwen-14b

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [0, 8]
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [8, 24]
      parameters:
        scale:
          - filter: q_proj
            value: 0.919
          - filter: k_proj
            value: 0.919
          - value: 1.0
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [16, 24]
      parameters:
        scale:
          - filter: q_proj
            value: 0.7
          - filter: k_proj
            value: 0.7
          - filter: o_proj
            value: 0.0
          - filter: down_proj
            value: 0.0
          - value: 1.0
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [16, 32]
      parameters:
        scale:
          - filter: q_proj
            value: 0.919
          - filter: k_proj
            value: 0.919
          - value: 1.0
  - sources:
    - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
      layer_range: [32, 40]
merge_method: passthrough
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	18.13
IFEval (0-Shot)	18.69
BBH (3-Shot)	44.27
MATH Lvl 5 (4-Shot)	0.00
GPQA (0-shot)	2.68
MuSR (0-shot)	5.53
MMLU-PRO (5-shot)	37.57