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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/Qwen2.5-14B 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/Qwen2.5-14B-Instruct
  - model: Qwen/Qwen2.5-14B
  - model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
  - model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
  - model: allknowingroger/Qwenslerp2-14B
  - model: allknowingroger/Qwenslerp3-14B
  - model: allknowingroger/Qwen2.5-slerp-14B
  - model: v000000/Qwen2.5-Lumen-14B
  - model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta
  - model: tanliboy/lambda-qwen2.5-14b-dpo-test
base_model: Qwen/Qwen2.5-14B
merge_method: model_stock
parameters:
  normalize: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-14B-Instruct

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 36.39
IFEval (0-Shot) 56.85
BBH (3-Shot) 51.01
MATH Lvl 5 (4-Shot) 27.34
GPQA (0-shot) 16.44
MuSR (0-shot) 17.85
MMLU-PRO (5-shot) 48.84
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Evaluation results