|
--- |
|
base_model: |
|
- KatyTheCutie/LemonadeRP-4.5.3 |
|
- Replete-AI/WizardLM-2-7b |
|
library_name: transformers |
|
tags: |
|
- mergekit |
|
- merge |
|
license: cc-by-nc-4.0 |
|
--- |
|
 |
|
|
|
# Intent |
|
The intent was to combine the excellent LemonadeRP-4.5.3 with WizardLM-2 in order to produce more effective uncensored content. While WizardLM-2 wouldn't balk at uncensored content, it would still falter in actually producing it whereas LemonadeRP didn't have this issue. The results are pretty good imo. There's a problem that if your response length is too long it will start to speak for the user but those usually disappear on swipes. |
|
|
|
I had originally not intended to release this model and instead keep it private. It's my first foray into doing merges at all and I didn't want to release a subpar model. However, after encouragement I've decided to unprivate it. Hope you all get some enjoyment out of it. |
|
|
|
# Prompt - Alpaca |
|
|
|
Using the Alpaca prompt seems to get good results. |
|
|
|
# Context Size - 8192 |
|
|
|
Haven't tested beyond this. Usual rule of thumb is that once you get up to 12k your responses tend to become less coherent and 16k is where things just devolve completely. |
|
|
|
# merge |
|
|
|
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 SLERP merge method. |
|
|
|
### Models Merged |
|
|
|
The following models were included in the merge: |
|
* [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3) |
|
* [Replete-AI/WizardLM-2-7b](https://huggingface.co/Replete-AI/WizardLM-2-7b) |
|
|
|
### Configuration |
|
|
|
The following YAML configuration was used to produce this model: |
|
|
|
```yaml |
|
models: |
|
- model: Replete-AI/WizardLM-2-7b |
|
- model: KatyTheCutie/LemonadeRP-4.5.3 |
|
merge_method: slerp |
|
base_model: KatyTheCutie/LemonadeRP-4.5.3 |
|
dtype: bfloat16 |
|
parameters: |
|
t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers |
|
``` |
