metadata
base_model:
- sometimesanotion/Lamarck-14B-v0.7-Fusion
- sometimesanotion/Lamarck-14B-v0.7
library_name: transformers
tags:
- mergekit
- merge
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
name: LamarckInfusion-14B-v1
base_model: sometimesanotion/Lamarck-14B-v0.7
merge_method: slerp
tokenizer_source: base
dtype: float32
out_dtype: bfloat16
parameters:
t:
- filter: self_attn
value: [0.2, 0.5, 0.4, 0.6, 0.8]
- filter: mlp
value: [0.8, 0.5, 0.6, 0.4, 0.2]
- value: [ 0.00, 0.00, 0.08, 0.16, 0.32, 0.48, 0.48, 0.48, 0.48, 0.48, 0.40, 0.32, 0.24 ]
slices:
- sources:
- model: sometimesanotion/Lamarck-14B-v0.7
layer_range: [ 0, 48 ]
- model: sometimesanotion/Lamarck-14B-v0.7-Fusion
layer_range: [ 0, 48 ]