---
license: cc-by-nc-4.0
---

Merge:
```shell
layer_slices:
  - model: Gryphe/MythoMax-L2-13b
    start: 0
    end: 16
  - model: Undi95/MM-ReMM-L2-20B-Part1
    start: 8
    end: 20
  - model: Gryphe/MythoMax-L2-13b
    start: 17
    end: 32
  - model: Undi95/MM-ReMM-L2-20B-Part1
    start: 21
    end: 40
```

<!-- description start -->
## Models used

- Gryphe/MythoMax-L2-13b
- Undi95/ReMM-v2.1-L2-13B
<!-- description end -->

Part1 = ReMM v2.1 merged /w MythoMax low weight to keep consistency. I call this "dilution" and result show consistency and coherency without repeat/loop beside the small amount of duplicated datas.

## Prompt template: Alpaca

```
Below is an instruction that describes a task. Write a response that completes the request.

### Instruction:
{prompt}

### Response:
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__MM-ReMM-L2-20B)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 51.14   |
| ARC (25-shot)         | 60.84          |
| HellaSwag (10-shot)   | 85.18    |
| MMLU (5-shot)         | 56.45         |
| TruthfulQA (0-shot)   | 53.33   |
| Winogrande (5-shot)   | 75.77   |
| GSM8K (5-shot)        | 7.73        |
| DROP (3-shot)         | 18.66         |