README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- CorticalStack/pastiche-crown-clown-7b-dare-dpo
- Equall/Saul-Instruct-v1
---

![image/webp](https://cdn.prod.arcee.ai/images/saul-calme.jpeg)

# Saul-Instruct-Clown-7b

Saul-Instruct-Clown-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [CorticalStack/pastiche-crown-clown-7b-dare-dpo](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare-dpo)
* [Equall/Saul-Instruct-v1](https://huggingface.co/Equall/Saul-Instruct-v1)

## 🏆 Evaluation

### OpenLLM

Saul-Instruct-Clown-7b OpenLLM benchmark suite

| Model | Average | arc | HellaSwag | mmlu | TruthfulQA | gsm8k |
|---|---:|---:|---:|---:|---:|---:|
| [arcee-ai/Saul-Instruct-Clown-7b](https://huggingface.co/arcee-ai/Saul-Instruct-Clown-7b/) | 72.79 | 68.26 | 86.28 | 63.12 | 64.68 | 83.43 | 70.96 |


## 🧩 Configuration

```yaml
  slices:
    - sources:
        - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
          layer_range: [0, 32]
        - model: Equall/Saul-Instruct-v1
          layer_range: [0, 32]
  merge_method: slerp
  base_model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
  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

```