metadata

base_model:
  - mistralai/Mistral-7B-v0.1
  - cognitivecomputations/dolphin-2.2.1-mistral-7b
  - HuggingFaceH4/zephyr-7b-beta
  - NousResearch/Hermes-2-Pro-Mistral-7B
library_name: transformers
tags:
  - mergekit
  - merge
widget:
  - text: >-
      Is this review positive or negative? Review: Best cast iron skillet you
      will ever buy.
    example_title: Sentiment analysis
  - text: >-
      Barack Obama nominated Hilary Clinton as his secretary of state on Monday.
      He chose her because she had ...
    example_title: Coreference resolution
  - text: >-
      On a shelf, there are five books: a gray book, a red book, a purple book,
      a blue book, and a black book ...
    example_title: Logic puzzles
  - text: >-
      The two men running to become New York City's next mayor will face off in
      their first debate Wednesday night ...
    example_title: Reading comprehension

Herdolphyr

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using mistralai/Mistral-7B-v0.1 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: cognitivecomputations/dolphin-2.2.1-mistral-7b
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: HuggingFaceH4/zephyr-7b-beta 
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: NousResearch/Hermes-2-Pro-Mistral-7B
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1 
parameters:
  normalize: true
  int8_mask: true
dtype: float16