SeaMax-7B
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 mpasila/PIPPA-Named-7B 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-2.8-mistral-7b-v02
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- model: Locutusque/SlimHercules-4.0-Mistral-7B-v0.2
parameters:
density: 0.5
weight: [0, 0.3, 0.7, 1] # weight gradient
merge_method: ties
base_model: mpasila/PIPPA-Named-7B
parameters:
normalize: true
int8_mask: true
dtype: bfloat16