Editing Models with Task Arithmetic
Paper
• 2212.04089 • Published
• 7
This repo contains a merge of pre-trained language models created using mergekit.
It was hoped that the contributions of Japanese, German, and Arabic instruct models would contribute to reasoning as well as increasing the complexity of English text generation.
This model was merged using the task arithmetic merge method using princeton-nlp/gemma-2-9b-it-SimPO as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: princeton-nlp/gemma-2-9b-it-SimPO
dtype: bfloat16
merge_method: task_arithmetic
parameters:
normalize: true
models:
- model: princeton-nlp/gemma-2-9b-it-SimPO
- model: AXCXEPT/EZO-Humanities-9B-gemma-2-it
parameters:
weight: 0.3
- model: VAGOsolutions/SauerkrautLM-gemma-2-9b-it
parameters:
weight: 0.1
- model: anthracite-org/magnum-v4-9b
parameters:
weight: 0.01
- model: silma-ai/SILMA-9B-Instruct-v1.0
parameters:
weight: 0.001