
Slerp Merge of [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) and [cookinai/CatMacaroni-Slerp](https://huggingface.co/cookinai/CatMacaroni-Slerp)

.yaml file for mergekit

```
slices:
  - sources:
      - model: Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
      - model: CatMacaroni-Slerp-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: Mistral-7B-Instruct-v0.2
parameters:
  t:
    - value: [0, 0.3, 0.5, 0.7, 1]
dtype: float16
```

| Metric | Value |
| --- | --- |
| Avg. | 69.08 |
| ARC (25-shot) | 65.53 |
| HellaSwag (10-shot) | 85.66 |
| MMLU (5-shot) | 61.53 |
| TruthfulQA (0-shot) | 64.1 |
| Winogrande (5-shot) | 80.03 |
| GSM8K (5-shot) | 57.62 |
{"license": "apache-2.0", "tags": ["merge"]}
transformers safetensors mistral text-generation merge conversational license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us