allknowingroger/QwenStock1-14B

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:

• CultriX/SeQwence-14Bv1
• CultriX/Qwen2.5-14B-Wernicke
• CultriX/Qwen2.5-14B-MegaMerge-pt2
• CultriX/Qwestion-14B
• allknowingroger/Qwen2.5-slerp-14B
• Qwen/Qwen2.5-14B-Instruct
• allknowingroger/Qwenslerp3-14B
• allknowingroger/Qwenslerp2-14B
• CultriX/Qwen2.5-14B-MergeStock

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Qwen/Qwen2.5-14B-Instruct
  - model: Qwen/Qwen2.5-14B
  - model: CultriX/Qwen2.5-14B-MergeStock
  - model: CultriX/SeQwence-14Bv1
  - model: allknowingroger/Qwenslerp2-14B
  - model: allknowingroger/Qwenslerp3-14B
  - model: allknowingroger/Qwen2.5-slerp-14B
  - model: CultriX/Qwestion-14B
  - model: CultriX/Qwen2.5-14B-Wernicke
  - model: CultriX/Qwen2.5-14B-MegaMerge-pt2
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.	36.76
IFEval (0-Shot)	56.34
BBH (3-Shot)	50.08
MATH Lvl 5 (4-Shot)	29.38
GPQA (0-shot)	16.89
MuSR (0-shot)	18.79
MMLU-PRO (5-shot)	49.09