---
base_model:
- TheBloke/Llama-2-13B-fp16
- Masterjp123/SnowyRP-FinalV1-L2-13B
- Masterjp123/Snowyrp-V2B-P1
- sauce1337/BerrySauce-L2-13b
library_name: transformers
tags:
- mergekit
- merge

---
# Model
This is the Bf16 unquantized version of SnowyRP V2 Beta And the First Public Beta Model in the SnowyRP series of models!

[BF16](https://huggingface.co/Masterjp123/SnowyRP-V2-13B-L2_BetaTest)

NOTE: this model has gave me issues when I tried to quantize it, So I guess if you want, IDK get the bloke the do it, after all they do stuff better than me anyways.

## Merge Details
just originally made V2beta to be a test, But it seems like it is good, So I am quantizing it.

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
```

### 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:
* [Masterjp123/SnowyRP-FinalV1-L2-13B](https://huggingface.co/Masterjp123/SnowyRP-FinalV1-L2-13B)
* [posicube/Llama2-chat-AYB-13B](https://huggingface.co/posicube/Llama2-chat-AYB-13B)
* [Sao10K/Stheno-1.8-L2-13B](https://huggingface.co/Sao10K/Stheno-1.8-L2-13B)
* [ValiantLabs/ShiningValiantXS](https://huggingface.co/ValiantLabs/ShiningValiantXS)
* [sauce1337/BerrySauce-L2-13b](https://huggingface.co/sauce1337/BerrySauce-L2-13b)

### Configuration

The following YAML configuration was used to produce this model:

```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: Masterjp123/Snowyrp-V2B-P1
    parameters:
      density: [1.0, 0.7, 0.1]
      weight: 1.0
  - layer_range: [0, 40]
    model:
      model:
        path: Masterjp123/SnowyRP-FinalV1-L2-13B
    parameters:
      density: 0.5
      weight: [0.0, 0.3, 0.7, 1.0]
  - layer_range: [0, 40]
    model:
      model:
        path: sauce1337/BerrySauce-L2-13b
    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
```
for Masterjp123/Snowyrp-V2B-P1
```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: Sao10K/Stheno-1.8-L2-13B
    parameters:
      density: [1.0, 0.7, 0.1]
      weight: 1.0
  - layer_range: [0, 40]
    model:
      model:
        path: ValiantLabs/ShiningValiantXS
    parameters:
      density: 0.5
      weight: [0.0, 0.3, 0.7, 1.0]
  - layer_range: [0, 40]
    model:
      model:
        path: posicube/Llama2-chat-AYB-13B
    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
```