metadata

base_model:
  - kubernetes-bad/chargen-v2
  - NeverSleep/Noromaid-7B-0.4-DPO
  - mlabonne/NeuralHermes-2.5-Mistral-7B
  - Weyaxi/Einstein-v4-7B
  - Severian/Einstein-IKM-v1-7B-LoRa
library_name: transformers
tags:
  - mergekit
  - merge

merge

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 kubernetes-bad/chargen-v2 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: kubernetes-bad/chargen-v2
    parameters:
      density: 1
      weight: 1
  - model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      density: 0.65
      weight: 0.2
  - model: Weyaxi/Einstein-v4-7B+Severian/Einstein-IKM-v1-7B-LoRa
    parameters:
      density: [0.6, 0.5, 0.4, 0.5, 0.6]
      weight: 0.15
  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
    parameters:
      density: [0.4, 0.5, 0.6, 0.5, 0.4]
      weight: 0.15
merge_method: ties
base_model: kubernetes-bad/chargen-v2
parameters:
  normalize: true
dtype: bfloat16