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:
- cognitivecomputations/dolphin-2.2.1-mistral-7b
- HuggingFaceH4/zephyr-7b-beta
- NousResearch/Hermes-2-Pro-Mistral-7B
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