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

# Fimbul-Airo-18B 👍

Thanks to @mradermacher for his excellent quants! You can find his GGUFs for this repo [here](https://huggingface.co./mradermacher/Fimbul-Airo-18B-GGUF).

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. Also seems to be happy when ROPEing up to 8K. Uncensored, told me how to build a nuke. 

## 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:

```

👍

Less silly models are in the works. I'm still figuring things out right now, so don't judge the bazillions of readme edits and other goofiness.

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