---
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
---
> [!WARNING]
> This merge is sad, feels like a downgrade.
> Mixed bag, sometimes great other times meh not bad but cursed with 'barely above a whisper'(might be my card)
> Follows instructions pretty well
# Llama-3-8B-Irene-v0.3
Same idea as previous merge, but with [saishf's](https://huggingface.co/saishf) SOVL merge line.
---
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/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](https://huggingface.co/Virt-io/Llama-3-8B-Irene-v0.2)
* [saishf/SOVLish-Maid-L3-8B](https://huggingface.co/saishf/SOVLish-Maid-L3-8B)
* [saishf/Kitty-Cat-SOVL-8B-L3-V1](https://huggingface.co/saishf/Kitty-Cat-SOVL-8B-L3-V1)
* Mergekit/Neko-Maid-SLERP
### Configuration
The following YAML configuration was used to produce this model:
```yaml
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
```
```yaml
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
```