---
base_model:
- Riiid/sheep-duck-llama-2-13b
- IkariDev/Athena-v4
- TheBloke/Llama-2-13B-fp16
- KoboldAI/LLaMA2-13B-Psyfighter2
- KoboldAI/LLaMA2-13B-Erebus-v3
- Henk717/echidna-tiefigther-25
- Undi95/Unholy-v2-13B
- ddh0/EstopianOrcaMaid-13b
tags:
- mergekit
- merge
- not-for-all-audiences
- ERP
- RP
- Roleplay
- uncensored
- GPTQ
license: llama2
language:
- en
inference: false
---
# Model
This is the GPTQ 4bit quantized version of SnowyRP

[BF16](https://huggingface.co/Masterjp123/SnowyRP-FinalV1-L2-13B)

[GPTQ](https://huggingface.co/Masterjp123/SnowyRP-FinalV1-L2-13B-GPTQ)

[GGUF](https://huggingface.co/Masterjp123/SnowyRP-FinalV1-L2-13B-GGUF)

Any Future Quantizations I am made aware of will be added.

## Merge Details

just used highly ranked modles to try and get a better result, Also I made sure that Model incest would not be a BIG problem by merging models that are pretty pure.

These models CAN and WILL produce X rated or harmful content, due to being heavily uncensored in a attempt to not limit or make the model worse.

This Model has a Very good knowledge base and understands anatomy decently, Plus this Model is VERY versitle and is great for General assistant work, RP and ERP, RPG RPs and much more.

## Model Use:

This model is very good... WITH THE RIGHT SETTINGS.
I personally use microstat mixed with dynamic temp with epsion cut off and eta cut off.
```
    Optimal Settings (so far)

  Microstat Mode: 2
    tau: 2.95
    eta: 0.05

  Dynamic Temp
    min: 0.25
    max: 1.8

  Cut offs
    epsilon: 3
    eta: 3
```
Go to the [BF16](https://huggingface.co/Masterjp123/SnowyRP-FinalV1-L2-13B) Repo for more usage settings.
### Merge Method

This model was merged using the [ties](https://arxiv.org/abs/2306.01708) merge method using [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16) as a base.

### Models Merged

The following models were included in the merge:
* [Riiid/sheep-duck-llama-2-13b](https://huggingface.co/Riiid/sheep-duck-llama-2-13b)
* [IkariDev/Athena-v4](https://huggingface.co/IkariDev/Athena-v4)
* [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2)
* [KoboldAI/LLaMA2-13B-Erebus-v3](https://huggingface.co/KoboldAI/LLaMA2-13B-Erebus-v3)
* [Henk717/echidna-tiefigther-25](https://huggingface.co/Henk717/echidna-tiefigther-25)
* [Undi95/Unholy-v2-13B](https://huggingface.co/Undi95/Unholy-v2-13B)
* [EstopianOrcaMaid](https://huggingface.co/ddh0/EstopianOrcaMaid-13b)

### Configuration

The following YAML configuration was used to produce this model:

for P1
```yaml
base_model:
  model:
    path: TheBloke/Llama-2-13B-fp16
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 40]
    model:
      model:
        path: TheBloke/Llama-2-13B-fp16
  - layer_range: [0, 40]
    model:
      model:
        path: Undi95/Unholy-v2-13B
    parameters:
      weight: 1.0
  - layer_range: [0, 40]
    model:
      model:
        path: Henk717/echidna-tiefigther-25
    parameters:
      weight: 0.45
  - layer_range: [0, 40]
    model:
      model:
        path: KoboldAI/LLaMA2-13B-Erebus-v3
    parameters:
      weight: 0.33
```

for P2
```yaml
base_model:
  model:
    path: TheBloke/Llama-2-13B-fp16
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 40]
    model:
      model:
        path: TheBloke/Llama-2-13B-fp16
  - layer_range: [0, 40]
    model:
      model:
        path: KoboldAI/LLaMA2-13B-Psyfighter2
    parameters:
      weight: 1.0
  - layer_range: [0, 40]
    model:
      model:
        path: Riiid/sheep-duck-llama-2-13b
    parameters:
      weight: 0.45
  - layer_range: [0, 40]
    model:
      model:
        path: IkariDev/Athena-v4
    parameters:
      weight: 0.33
```

for the final merge
```yaml
base_model:
  model:
    path: TheBloke/Llama-2-13B-fp16
dtype: bfloat16
merge_method: ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 40]
    model:
      model:
        path: ddh0/EstopianOrcaMaid-13b
    parameters:
      density: [1.0, 0.7, 0.1]
      weight: 1.0
  - layer_range: [0, 40]
    model:
      model:
        path: Masterjp123/snowyrpp1
    parameters:
      density: 0.5
      weight: [0.0, 0.3, 0.7, 1.0]
  - layer_range: [0, 40]
    model:
      model:
        path: Masterjp123/snowyrpp2
    parameters:
      density: 0.33
      weight:
      - filter: mlp
        value: 0.5
      - value: 0.0
  - layer_range: [0, 40]
    model:
      model:
        path: TheBloke/Llama-2-13B-fp16
```