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---
base_model:
- Ejafa/phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5
- jpacifico/Chocolatine-3B-Instruct-DPO-Revised
- Antonio88/TaliML-PHI3-128K-ITA-V.1.0.FINAL
library_name: transformers
tags:
- mergekit
- merge
---
# merge
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:
* [Ejafa/phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5](https://huggingface.co/Ejafa/phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5)
* [jpacifico/Chocolatine-3B-Instruct-DPO-Revised](https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-Revised)
* [Antonio88/TaliML-PHI3-128K-ITA-V.1.0.FINAL](https://huggingface.co/Antonio88/TaliML-PHI3-128K-ITA-V.1.0.FINAL)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Antonio88/TaliML-PHI3-128K-ITA-V.1.0.FINAL
layer_range: [0, 32]
- sources:
- model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised
layer_range: [0, 32]
- sources:
- model: Ejafa/phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5
layer_range: [0, 32]
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised
merge_method: slerp
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
normalize: false
int8_mask: true
density: 0.7
lambda: 1.1
epsilon: 0.2
dtype: bfloat16
```
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