MrRobotoAI/Test001a

merge

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using NousResearch/Yarn-Mistral-7b-128k as a base.

Models Merged

The following models were included in the merge:

• tarotscientist/llama-2-7b-tarotreader
• Nitral-Archive/HerculeanSea-7b-128k
• Norquinal/Mistral-7B-storywriter
• teknium/llama-deus-7b-v3-lora-merged
• Undi95/BigL-7B
• Undi95/MistRP-Dolphin-7B
• Undi95/Toppy-M-7B
• Undi95/Mistral-ClaudeLimaRP-v3-7B
• teknium/Mistral-Trismegistus-7B
• alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic
• CallComply/zephyr-7b-beta-128k
• teknium/Hermes-Trismegistus-Mistral-7B
• Undi95/LewdMistral-7B-0.2

Configuration

The following YAML configuration was used to produce this model:

### This the config.yml for ABC_Books/test001 ###
 models:

  ### Models that contribute a large 128K context window ###
  - model: CallComply/zephyr-7b-beta-128k
    parameters:
      weight: 0.1154
      density: 0.9
  - model: Nitral-Archive/HerculeanSea-7b-128k
    parameters:
      weight: 0.1154
      density: 0.9
  - model: NousResearch/Yarn-Mistral-7b-128k
    parameters:
      weight: 0.1154
      density: 0.9

  ### Models with finetune training on occult knownledge ###
  - model: teknium/llama-deus-7b-v3-lora-merged
    parameters:
      weight: 0.0769
      density: 0.9
  - model: teknium/Hermes-Trismegistus-Mistral-7B
    parameters:
      weight: 0.0769
      density: 0.9
  - model: alexandrabenamar/Mistral-7B-Instruct-v0.2-Magic
    parameters:
      weight: 0.0769
      density: 0.9
  - model: tarotscientist/llama-2-7b-tarotreader
    parameters:
      weight: 0.0769
      density: 0.9
  - model: teknium/Mistral-Trismegistus-7B
    parameters:
      weight: 0.0769
      density: 0.9

  ### Talkative model with a large context window ###
  - model: Norquinal/Mistral-7B-storywriter
    parameters:
      weight: 0.0769
      density: 0.9

  ### Models with finetune training to be uncensored use some crass diction ###
  - model: Undi95/BigL-7B
    parameters:
      weight: 0.0384
      density: 0.9
  - model: Undi95/LewdMistral-7B-0.2
    parameters:
      weight: 0.0385
      density: 0.9
  - model: Undi95/MistRP-Dolphin-7B
    parameters:
      weight: 0.0385
      density: 0.9
  - model: Undi95/Mistral-ClaudeLimaRP-v3-7B
    parameters:
      weight: 0.0385
      density: 0.9
  - model: Undi95/Toppy-M-7B
    parameters:
      weight: 0.0385
      density: 0.9

  ### The use of DARES has been shown to “Densify” standard model lending to a more robust model when paired with a high “density:” numbers ###
 merge_method: dare_ties

  ### This model best exemplifies the closest match to all of the features needed in the final model ###
 base_model: NousResearch/Yarn-Mistral-7b-128k
 parameters:

  ### When “densifing” models the model size tends to grow without normalize
  normalize: true
  int8_mask: true
 dtype: float16