README.md

---
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

```