Made as merge fodder, but initial tests went pretty well.
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/n3IAJq4VM-_MrB58pakHo.jpeg)

The following models were included in the merge:
* [NurtureAI/neural-chat-7b-v3-16k](https://huggingface.co/NurtureAI/neural-chat-7b-v3-16k)
* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: NurtureAI/neural-chat-7b-v3-16k
        layer_range: [0, 32]
      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: NurtureAI/neural-chat-7b-v3-16k
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
```

{"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NurtureAI/neural-chat-7b-v3-16k", "SanjiWatsuki/Kunoichi-DPO-v2-7B"]}
transformers safetensors mistral text-generation mergekit merge base_model:NurtureAI/neural-chat-7b-v3-16k base_model:SanjiWatsuki/Kunoichi-DPO-v2-7B autotrain_compatible endpoints_compatible text-generation-inference region:us