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

---
# UnFimbulvetr-20B

![](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).

NOTE: *Only tested this just for a bit. YMMV.*

## Next Day Tests...

Downloaded the GGUF model that someone quantized... And... nope. No.

**Do not use model.**

## 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

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: FimbMagic
      layer_range: [0, 13]
  - sources:
    - model: FimbMagic
      layer_range: [8, 13]
  - sources:
    - model: FimbMagic
      layer_range: [12, 36]
  - sources:
    - model: FimbMagic
      layer_range: [12, 36]
  - sources:
    - model: FimbMagic
      layer_range: [36, 48]
  - sources:
    - model: FimbMagic
      layer_range: [36, 48]
merge_method: passthrough
dtype: bfloat16
```

### Additional Notes

Fimbulvetr 11B is still a very good model. This model is for extreme trailblazers who wants to test stuff!

Eval results? Don't bother.

Last one before I sleep: *I'm so sorry Sao10K...*