---
base_model: []
tags:
- mergekit
- merge
---
# Psyonic-Cetacean-20B-V2

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). 

GGUF (standard and iMatrix) quants can be found here courtesy of MarsupialAI: https://huggingface.co/MarsupialAI/Psyonic-Cetacean-20b-v2_iMatrix_GGUF 

## Merge Details
### Merge Method

This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method on two stack-merged models.

The first is [jebcarter/psyonic-cetacean-20B](https://huggingface.co/jebcarter/psyonic-cetacean-20B) 
(Orca first, reproduced so I didn't have to download that model on top of the components).
The second is the same recipe with the models reversed. 

Since [jebcarter](https://huggingface.co/jebcarter) suggested this recipe, credit goes to him. 

### Models Merged

The following models were included in the merge:
* microsoft/Orca-2-13b
* KoboldAI/LLaMA2-13B-Psyfighter2

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: microsoft/Orca-2-13b
    parameters:
      weight: 1.0
merge_method: task_arithmetic
base_model: TheBloke/Llama-2-13B-fp16
dtype: float16
name: FlatOrca2
---
slices:
  - sources:
    - model: FlatOrca2
      layer_range: [0, 16]
  - sources:
    - model: KoboldAI/LLaMA2-13B-Psyfighter2
      layer_range: [8, 24]
  - sources:
    - model: FlatOrca2
      layer_range: [17, 32]
  - sources:
    - model: KoboldAI/LLaMA2-13B-Psyfighter2
      layer_range: [25, 40]
merge_method: passthrough
dtype: float16
name: Psycet
---
slices:
  - sources:
    - model: KoboldAI/LLaMA2-13B-Psyfighter2
      layer_range: [0, 16]
  - sources:
    - model: FlatOrca2
      layer_range: [8, 24]
  - sources:
    - model: KoboldAI/LLaMA2-13B-Psyfighter2
      layer_range: [17, 32]
  - sources:
    - model: FlatOrca2
      layer_range: [25, 40]
merge_method: passthrough
dtype: float16
name: Psycet-Reverse
---
models:
  - model: Psycet
    parameters:
      weight: 0.5
  - model: Psycet-Reverse
    parameters:
      weight: 0.5
merge_method: linear
dtype: float16
```