File size: 1,780 Bytes
cf6daa0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---

base_model:
- inflatebot/MN-12B-Mag-Mell-R1
- TheDrummer/UnslopNemo-12B-v4.1
- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
- DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS
library_name: transformers
tags:
- mergekit
- merge

---

# AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS

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

## Merge Details
### Merge Method

This model was merged using the della_linear merge method using [TheDrummer/UnslopNemo-12B-v4.1](https://huggingface.co/TheDrummer/UnslopNemo-12B-v4.1) as a base.



### Models Merged



The following models were included in the merge:

* [inflatebot/MN-12B-Mag-Mell-R1](https://huggingface.co/inflatebot/MN-12B-Mag-Mell-R1)

* [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2)

* [DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS](https://huggingface.co/DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS)



### Configuration



The following YAML configuration was used to produce this model:



```yaml

models:

  - model: TheDrummer/UnslopNemo-12B-v4.1

    parameters:

      weight: 0.25

      density: 0.6

  - model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2

    parameters:

      weight: 0.25

      density: 0.6

  - model: DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS

    parameters:

      weight: 0.2

      density: 0.4

  - model: inflatebot/MN-12B-Mag-Mell-R1

    parameters:

      weight: 0.30

      density: 0.7

base_model: TheDrummer/UnslopNemo-12B-v4.1
merge_method: della_linear
dtype: bfloat16
chat_template: "chatml"

tokenizer_source: union
parameters:
  normalize: false
  int8_mask: true

  epsilon: 0.05

  lambda: 1



```