README.md

---
base_model: ["Sao10K/Fimbulvetr-11B-v2"]
library_name: transformers
tags:
- mergekit
- merge

---
# UnFimbulvetr-20B-V2

![](UnFimbulator.png "A Waifu that is disappointed in me with this cursed merge. ControlNet Image Source is from the original Fimbulvetr-11B-v2.")

*Waifu to catch your attention*

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

## GGUF Tests

Seems usable. But I'm having difficulty telling if the stacked layers were beneficial. While I think there's something added, I really can't tell.

## Merge Details
### Merge Method

This model was merged using the passthrough merge method.

### Models Merged

The following models were included in the merge:
* [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: Sao10K/Fimbulvetr-11B-v2
      layer_range: [0, 13]
  - sources:
    - model: Sao10K/Fimbulvetr-11B-v2
      layer_range: [8, 13]
  - sources:
    - model: Sao10K/Fimbulvetr-11B-v2
      layer_range: [12, 36]
  - sources:
    - model: Sao10K/Fimbulvetr-11B-v2
      layer_range: [12, 36]
  - sources:
    - model: Sao10K/Fimbulvetr-11B-v2
      layer_range: [20, 36]
  - sources:
    - model: Sao10K/Fimbulvetr-11B-v2
      layer_range: [36, 48]
merge_method: passthrough
dtype: bfloat16

```