output
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the breadcrumbs_ties merge method using tavtav/eros-7b-test as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: tavtav/eros-7b-test
layer_range: [0, 32]
- model: Nexusflow/Starling-LM-7B-beta
layer_range: [0, 32]
parameters:
weight: [1, 0.686, 0.37185, 0.686, 1]
density: [0.9, 0.7, 0.9] # density gradient
gamma: [0.01, 0.03, 0.02, 0.01] # weight gradient
tokenizer_source: base
merge_method: breadcrumbs_ties
base_model: tavtav/eros-7b-test
parameters:
normalize: true
dtype: bfloat16
name: scringle
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