---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
- alpaca
- mistral
- not-for-all-audiences
- nsfw
- exl2
license: cc-by-nc-4.0
---
# IceCocoaRP-7b-8bpw-exl2

8bpw-exl2 quant of [icefog72/IceCocoaRP-7b](https://huggingface.co/icefog72/IceCocoaRP-7b)

[SillyTavern Discord thread](https://discord.com/channels/1100685673633153084/1248929887570628688)

[Rules-lorebook and settings I'm using you can  find here](https://huggingface.co/icefog72/GeneralInfoToStoreNotModel/tree/main)

[ko-fi](https://ko-fi.com/icefog72)

## Merge Details

The best one so far for me.

- [4.2bpw-exl2](https://huggingface.co/icefog72/IceCocoaRP-7b-4.2bpw-exl2)
- [6.5bpw-exl2](https://huggingface.co/icefog72/IceCocoaRP-7b-6.5bpw-exl2)
- [8bpw-exl2](https://huggingface.co/icefog72/IceCocoaRP-7b-8bpw-exl2)

### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using NeuralBeagleJaskier as a base.

### Models Merged

The following models were included in the merge:
* NeuralBeagleJaskier
* IceBlendedCoffeeRP-7b (slerp bfloat16)
  - IceCoffeeRP-7b
  - IceBlendedLatteRP-7b base

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: NeuralBeagleJaskier
    parameters:
      density: 0.9
      weight: 0.5
  - model: IceBlendedCoffeeRP-7b
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: NeuralBeagleJaskier
parameters:
  normalize: true
  int8_mask: true
dtype: float16

```