metadata
base_model:
- Virt-io/Llama-3-8B-Irene-v0.2
- saishf/Kitty-Cat-SOVL-8B-L3-V1
- saishf/SOVLish-Maid-L3-8B
library_name: transformers
pipeline_tag: text-generation
tags:
- mergekit
- merge
- facebook
- meta
- pytorch
- llama
- llama-3
license: other
license_name: llama3
license_link: LICENSE
This merge is sad, feels like a downgrade.
Mixed bag, sometimes great other times meh not bad but cursed with 'barely above a whisper'
Llama-3-8B-Irene-v0.3
Same idea as previous merge, but with saishf's SOVL merge line.
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:
- Virt-io/Llama-3-8B-Irene-v0.2
- saishf/SOVLish-Maid-L3-8B
- saishf/Kitty-Cat-SOVL-8B-L3-V1
- Mergekit/Neko-Maid-SLERP
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Virt-io/Llama-3-8B-Irene-v0.2
layer_range: [0, 32]
- model: Mergekit/Neko-Maid-SLERP
layer_range: [0, 32]
merge_method: slerp
base_model: Virt-io/Llama-3-8B-Irene-v0.2
parameters:
t:
- value: [0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.35, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55]
dtype: bfloat16
slices:
- sources:
- model: saishf/Kitty-Cat-SOVL-8B-L3-V1
layer_range: [0, 32]
- model: saishf/SOVLish-Maid-L3-8B
layer_range: [0, 32]
merge_method: slerp
base_model: saishf/Kitty-Cat-SOVL-8B-L3-V1
parameters:
t:
- value: [0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.35, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55]
dtype: bfloat16