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---
base_model: grimjim/kunoichi-lemon-royale-7B
quanted_by: grimjim
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# kunoichi-lemon-royale-7B
This is an 8.0bpw h8 exl2 quant of [kunoichi-lemon-royale-7B](https://huggingface.co/grimjim/kunoichi-lemon-royale-7B).
Lightly tested with both Alpaca and ChatML prompts. Works with temperature 1.0 and minP 0.01, but feel free to vary it up. Tested to 8K context.
This model has a tendency to lean into revealing character interiority when generating narrative, which some people might find interesting. I found the model good with not only following the character card but also taking strong hints from the first message. This experimental model may occasionally reveal context, unfortunately.
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Available quants: [GGUF](https://huggingface.co/grimjim/kunoichi-lemon-royale-7B-GGUF) [exl2](https://huggingface.co/grimjim/kunoichi-lemon-royale-7B-8.0bpw_h8_exl2)
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [SanjiWatsuki/Kunoichi-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-7B) as a base. Each of the models had strengths I liked to varying degrees, leading to weights and densities being adjusted in aesthetic proportion.
### Models Merged
The following models were included in the merge:
* [core-3/kuno-royale-v2-7b](https://huggingface.co/core-3/kuno-royale-v2-7b)
* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
* [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: SanjiWatsuki/Kunoichi-7B
# no parameters necessary for base model
- model: KatyTheCutie/LemonadeRP-4.5.3
parameters:
weight: 0.3
density: 0.4
- model: core-3/kuno-royale-v2-7b
parameters:
weight: 0.3
density: 0.4
- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
parameters:
weight: 0.4
density: 0.8
merge_method: dare_ties
base_model: SanjiWatsuki/Kunoichi-7B
parameters:
int8_mask: true
normalize: true
dtype: bfloat16
``` |