---
library_name: transformers
tags:
- mergekit
- merge
- mistral
---

# Info

**Notice**: It appears I added too much Nina-v2-7B into this. Will have to do more testing.

This is a test combining what I think is the best RP model as of now [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B) with [Virt-io/Nina-v2-7B](https://huggingface.co/Virt-io/Nina-v2-7B) and Eros-Erebus-Holodeck-7B

The goal is to make the model smarter with Nina-v2-7B and add more story variation with Eros-Erebus-Holodeck-7B

[**Experimental SillyTavern presets**](https://huggingface.co/Virt-io/Irene-RP-7B/tree/main/presets)

# Irene-RP-7B

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

## Merge Details
### Merge Method

This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B) as a base.

### Models Merged

The following models were included in the merge:
* [Virt-io/Nina-v2-7B](https://huggingface.co/Virt-io/Nina-v2-7B)
* Mergekit/Eros-Erebus-Holodeck-7B

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Endevor/InfinityRP-v1-7B
    parameters:
      weight: 1.0
  - model: Virt-io/Nina-v2-7B
    parameters:
      weight: 0.75
  - model: Mergekit/Eros-Erebus-Holodeck-7B
    parameters:
      weight: 0.55
merge_method: task_arithmetic
base_model: Endevor/InfinityRP-v1-7B
parameters:
  normalize: true
  int8_mask: true
dtype: float16

```

# Eros-Erebus-Holodeck-7B

This just [Virt-io/Erebus-Holodeck-7B](https://huggingface.co/Virt-io/Erebus-Holodeck-7B) merged with [tavtav/eros-7b-test](https://huggingface.co/tavtav/eros-7b-test)

I probably will not be uploading this as my upload speed is too slow and free colab is ooming

```
slices:
  - sources:
      - model: tavtav/eros-7b-test
        layer_range: [0, 32]
      - model: Virt-io/Erebus-Holodeck-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: tavtav/eros-7b-test
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 # fallback for rest of tensors
dtype: float16
```