---
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
```