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---
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
```
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