---
library_name: transformers
license: apache-2.0
base_model:
- google/gemma-7b
merge-model: 
- google/gemma-7b-it
tags:
- merge
- mergekit
- google/gemma-7b-it
- google/gemma-7b
---

![image/webp](https://plus.unsplash.com/premium_photo-1664526284199-e36d32a3941d?w=800&auto=format&fit=crop&q=60&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxzZWFyY2h8MTN8fHNtYWxsZXJ8ZW58MHx8MHx8fDA%3D)


# Gemma-7B-slerp

This model is a merge of Gemma 7b base and 7b-instruct, using the Slerp merging method.

Test-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [google/gemma-7b-it](https://huggingface.co/google/gemma-7b-it)
* [google/gemma-7b](https://huggingface.co/google/gemma-7b)

## 🏆 Evaluation

### Nous

Gemma-7B-slerp's Nous' benchmark suite (evaluation performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval)).

| Model | Average | AGIEval | GPT4All | TruthfulQA | Bigbench |
|---|---:|---:|---:|---:|---:|
| [arcee-ai/Gemma-7B-slerp](https://huggingface.co/arcee-ai/gemma-7b-slerp) [📄](https://gist.github.com/shamanez/4c18f8d79747d4019ecf6d5ce098cf72) | 34.14 | 23.86 | 36.55 | 46.22 | 29.94 |

## 🧩 Configuration

Slerp YAML Config

```yaml
slices:
  - sources:
      - model: google/gemma-7b-it
        layer_range: [0, 28]
      - model: google/gemma-7b
        layer_range: [0, 28]
merge_method: slerp
base_model: google/gemma-7b
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

```