Hugging Face's logo

matchaaaaa
/
Fimbul-Airo-18B

Text Generation
Transformers
Safetensors
llama
mergekit
Merge
👍
text-generation-inference
Inference Endpoints
Model card Files Community
Fimbul-Airo-18B
File size: 1,863 Bytes 
18905b4
 
 
 
 
 
 
 
 
 
51882ab
18905b4
 
a11d011
 
18905b4
 
a044322
 
4c52649
a044322
18905b4
 
 
50531dc
18905b4
 
 
 
 
 
76de535
 
 
 
 
18905b4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a044322
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18905b4
a044322
18905b4
 
4c52649
 
18905b4
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
 
---
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!