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just originally made V2beta to be a test, But it seems like it is good, So I am quantizing it.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 merge method using TheBloke/Llama-2-13B-fp16 as a base.

Models Merged

The following models were included in the merge:

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

Masterjp123/SnowyRP-V2-13B-L2_BetaTest

Model

Merge Details

Model Use:

Merge Method

Models Merged

Configuration

Masterjp123/
SnowyRP-V2-13B-L2_BetaTest