README.md

---
library_name: transformers
tags:
- mergekit
- merge
---

# Tips

SillyTavern presets in presets folder.

Model has formatting issues when using asterisks. Recommended to use novel like formatting (only use quotes)

System prompt can be improved, help welcomed.

Model seems to take characters too seriously, if you find it too stubborn regenerate reply or edit it. It should comply after.

# Deris-SSS

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:
* Deris-v2
* SmartyPants-step2

### Configuration

The following YAML configuration was used to produce this model:

### Deris-SSS

Final merge combine the smart models with the unhinged ones

```yaml
slices:
  - sources:
      - model: ./Mergekit/Deris-v2
        layer_range: [0, 32]
      - model: ./Mergekit/SmartyPants-step2
        layer_range: [0, 32]
merge_method: slerp
base_model: ./Mergekit/Deris-v2
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
dtype: float16

```

### Deris-v2

Combine a bit of Datura_7B into Eris_Floramix_DPO_7B

Reason Datura is extremrly unhinged :) more so than Eris

```
slices:
  - sources:
      - model: ChaoticNeutrals/Eris_Floramix_DPO_7B
        layer_range: [0, 32]
      - model: ResplendentAI/Datura_7B
        layer_range: [0, 32]
merge_method: slerp
base_model: ChaoticNeutrals/Eris_Floramix_DPO_7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.20, 0.15, 0.25, 0.35]
    - filter: mlp
      value: [0.35, 0.20, 0.25, 0.15, 0]
    - value: 0.20
dtype: float16
```

### SmartyPants-step1

Combine OMJ into Einstein
Reason Einstein looks interesting and OMJ was a high ranking model

```
slices:
  - sources:
      - model: Weyaxi/Einstein-v4-7B
        layer_range: [0, 32]
      - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
        layer_range: [0, 32]
merge_method: slerp
base_model: Weyaxi/Einstein-v4-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.45, 0.3, 0.55, 0.65]
    - filter: mlp
      value: [0.65, 0.45, 0.55, 0.3, 0]
    - value: 0.45
dtype: float16
```

### SmartyPants-step2

Combine Smarty pants into FuseChat-VaRM
Reason IDK I just like FuseChat-VaRM

```
slices:
  - sources:
      - model: FuseAI/FuseChat-7B-VaRM
        layer_range: [0, 32]
      - model: ./Mergekit/SmartyPants-step1
        layer_range: [0, 32]
merge_method: slerp
base_model: FuseAI/FuseChat-7B-VaRM
parameters:
  t:
    - filter: self_attn
      value: [0, 0.45, 0.3, 0.55, 0.65]
    - filter: mlp
      value: [0.65, 0.45, 0.55, 0.3, 0]
    - value: 0.45
dtype: float16
```