README.md

---
base_model:
- AetherResearch/Cerebrum-1.0-7b
- Endevor/InfinityRP-v1-7B
library_name: transformers
tags:
- mergekit
- merge

---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d936ad52eca001fdcd3245/FujeSOGQBUSCz1KbvbyUt.png)

# Cerebral-Infinity-7B

The concept behind this merge is to create a "smarter" RP model, based on the already great InfinityRP, with the added logical reasoning qualities of Cerebrum.

I believe it has achieved that based on testing I did, however it may still offer refusals, but they are easy to work around with character cards and good prompting.


## Merge Details

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [AetherResearch/Cerebrum-1.0-7b](https://huggingface.co/AetherResearch/Cerebrum-1.0-7b)
* [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: Endevor/InfinityRP-v1-7B
        layer_range: [0, 32]
      - model: AetherResearch/Cerebrum-1.0-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: Endevor/InfinityRP-v1-7B
parameters:
  t:
    - filter: self_attn
      value: [0.7, 0.3, 0.6, 0.2, 0.5]
    - filter: mlp
      value: [0.3, 0.7, 0.4, 0.8, 0.5]
    - value: 0.5
dtype: bfloat16

```