---
base_model:
- Sao10K/Fimbulvetr-11B-v2
- Undi95/Mistral-11B-CC-Air-RP
library_name: transformers 
tags:
- mergekit
- merge
- 👍
---

![cute](https://huggingface.co/matchaaaaalatte/Fimbul-Airo-18B/blob/main/cute.png)

# Fimbul-Airo-18B 👍

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

I tested it for thirtneen.second 👍

Works pretty good, seems uncensored. I'll update with more results/observations as I continue to test. 

## Merge Details
### Merge Method

This model was merged using the passthrough merge method. Taking models and smashing em all together 👍

### Models Merged

The following models were included in the merge:
* [Sao10K/Fimbulvetr-11B-v2](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2) 👍
* [Undi95/Mistral-11B-CC-Air-RP](https://huggingface.co/Undi95/Mistral-11B-CC-Air-RP) 👍
  * [CollectiveCognition-v1.1-Mistral-7B](https://huggingface.co/teknium/CollectiveCognition-v1.1-Mistral-7B)
  * [airoboros-mistral2.2-7b](https://huggingface.co/teknium/airoboros-mistral2.2-7b/)
  * PIPPA dataset 11B qlora
  * LimaRPv3 dataset 11B qlora


### The Sauce 

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: Sao10K/Fimbulvetr-11B-v2
      layer_range: [0, 40]
  - sources:
    - model: Undi95/Mistral-11B-CC-Air-RP
      layer_range: [8, 48]
merge_method: passthrough
dtype: bfloat16

👍

```

### Prompt Format: Alpaca 👍

```
### Instruction:
<Prompt>

### Input:
<Insert Context Here>

### Response:

```

👍

Don't forget to take care of yourself and have a wonderful day!