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---
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
- beomi/Llama-3-Open-Ko-8B
library_name: transformers
tags:
- mergekit
- merge
---
# merged-model
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:
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
* [beomi/Llama-3-Open-Ko-8B](https://huggingface.co/beomi/Llama-3-Open-Ko-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# slices:
# - sources:
# - model: meta-llama/Meta-Llama-3-8B-Instruct
# layer_range: [0, 32]
# - model: upstage/SOLAR-10.7B-Instruct-v1.0
# layer_range: [0, 32]
# - model: beomi/Llama-3-Open-Ko-8B
# layer_range: [0, 32]
# merge_method: slerp
# base_model: meta-llama/Meta-Llama-3-8B-Instruct
# parameters:
# t:
# - filter: self_attn
# value: [0.4, 0.3, 0.3] # Adjust these values based on desired influence
# - filter: mlp
# value: [0.3, 0.35, 0.35] # Adjust these values based on desired influence
# - value: 0.33 # Fallback for rest of tensors
# dtype: float16
# name: integrated-model
slices:
- sources:
- model: beomi/Llama-3-Open-Ko-8B
layer_range: [0, 32]
- model: meta-llama/Meta-Llama-3-8B-Instruct
layer_range: [0, 32]
merge_method: slerp
base_model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
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