---
base_model:
- AlekseyKorshuk/ai-detection-gutenberg-human-choosed-formatted-ai-sft-qwen-7b-sft-3epochs
- Orion-zhen/Qwen2.5-7B-Gutenberg-KTO
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:
* [AlekseyKorshuk/ai-detection-gutenberg-human-choosed-formatted-ai-sft-qwen-7b-sft-3epochs](https://huggingface.co/AlekseyKorshuk/ai-detection-gutenberg-human-choosed-formatted-ai-sft-qwen-7b-sft-3epochs)
* [Orion-zhen/Qwen2.5-7B-Gutenberg-KTO](https://huggingface.co/Orion-zhen/Qwen2.5-7B-Gutenberg-KTO)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: Orion-zhen/Qwen2.5-7B-Gutenberg-KTO
  - model: AlekseyKorshuk/ai-detection-gutenberg-human-choosed-formatted-ai-sft-qwen-7b-sft-3epochs
merge_method: slerp
tokenizer_merge_method: slerp
tokenizer_parameters:
  t: 0.3  # Dà più peso al tokenizer 
base_model: AlekseyKorshuk/ai-detection-gutenberg-human-choosed-formatted-ai-sft-qwen-7b-sft-3epochs
dtype: bfloat16
parameters:
  t: [0, 0.2, 0.4, 0.5, 0.4, 0.2, 0]  # Curva che favorisce leggermente 
  temp: 1.3  # Temperatura per smoothare il merge
density:  # Density merging per bilanciare le caratteristiche dei due modelli
  - threshold: 0.1
    t: 0.7
  - threshold: 0.5
    t: 0.5
  - threshold: 0.9
    t: 0.3

```