merge

Name: Qwen2.5-3B-RP-Thinker
Availability: InStock

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

Merge Details

Merge Method

This model was merged using the TIES merge method using Qwen/Qwen2.5-3B-Instruct as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: PowerInfer/SmallThinker-3B-Preview
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: bunnycore/Qwen2.5-3B-RP-Mix
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: Spestly/Athena-1-3B
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: Qwen/Qwen2.5-3B-Instruct
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	17.69
IFEval (0-Shot)	58.94
BBH (3-Shot)	17.41
MATH Lvl 5 (4-Shot)	2.27
GPQA (0-shot)	1.90
MuSR (0-shot)	1.76
MMLU-PRO (5-shot)	23.89

bunnycore/Qwen2.5-3B-RP-Thinker