LeroyDyer/_Spydaz_Web_AI_AGI_R1_X2

merge --- - -Beware Reward training can make mistakes in the tesor stack ! Which pytorch does not like ! So A RE-MERGE with base will repair it !

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

This merge took it to the top of my models list! But my musr/Ipevel went down ?

Merge Details

Merge Method

This model was merged using the TIES merge method using LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1 as a base.

Models Merged

The following models were included in the merge:

• LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder
• LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: LeroyDyer/_Spydaz_Web_AI_AGI_R1_Student_Coder
    parameters:
      density: 0.256
      weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
  - model: LeroyDyer/_Spydaz_Web_AI_AGI_R1_Teacher_Coder
    parameters:
      density: 0.256
      weight: [0.128, 0.256, 0.128, 0.256] # weight gradient
  - model: LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1
    parameters:
      density: 0.768
      weight:
        - filter: mlp
          value: 0.768
        - value: 0.512
merge_method: ties
base_model: LeroyDyer/_Spydaz_Web_AI_AGI_R1_X1
parameters:
  normalize: true
  int8_mask: true
dtype: float16