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---
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
```
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