Hugging Face's logo

Knobi3
/
EvoMerge1

Text Generation
Transformers
Safetensors
English
Swedish
mistral
mergekit
Merge
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
EvoMerge1
File size: 3,246 Bytes 
b158a68
 
 
 
 
 
3e12cb4
 
 
 
b158a68
b23156b
b158a68
589ccb1
b158a68
 
 
 
541d5ea
b158a68
 
 
 
b23156b
 
 
084dd41
b23156b
b158a68
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3e12cb4
 
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
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
 
---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
- sv
---
# Evolutionary model merging

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). However, only evaluated over 2 merges.

## Merge Details
### Merge Method

This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using Mistral-7B-Instruct-v0.2 as a base.

### Models Merged

The following models were included in the merge:
* Starling-LM-7B-beta_581094980
* NeuralBeagle14-7B_2368216670
* Mistral-7B-Instruct-v0.2_674785087
* sol_2748493923


### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
    parameters:
      weight: 0.445198554642378
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      weight: 0.005659554655209731
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/sol_2748493923
    parameters:
      weight: 0.3149085451085008
  - layer_range: [0, 8]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
- sources:
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
    parameters:
      weight: 0.07684631401806669
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      weight: 0.4987353671063862
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/sol_2748493923
    parameters:
      weight: 0.5082785378119663
  - layer_range: [8, 16]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
- sources:
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
    parameters:
      weight: 0.5687639014384054
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      weight: 0.5007180726769771
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/sol_2748493923
    parameters:
      weight: 0.3855348742111532
  - layer_range: [16, 24]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
- sources:
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/NeuralBeagle14-7B_2368216670
    parameters:
      weight: 0.17691410154696996
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/Starling-LM-7B-beta_581094980
    parameters:
      weight: 0.2031085126199354
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/sol_2748493923
    parameters:
      weight: 0.5603073995258283
  - layer_range: [24, 32]
    model: /content/evol_merge_storage/input_models/Mistral-7B-Instruct-v0.2_674785087
```