File size: 4,250 Bytes
fb86a1b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
---
base_model: []
library_name: transformers
tags:
- mergekit
- merge

---
# final_merge_biomistral_e57b_tydien

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088 as a base.

### Models Merged

The following models were included in the merge:
* ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 4]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.8367579275276175
      weight: 0.4706008624766047
  - layer_range: [0, 4]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.6199244761272209
      weight: 0.49607199958757875
- sources:
  - layer_range: [4, 8]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.6844013361793727
      weight: 0.35766754240777654
  - layer_range: [4, 8]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.8139831864708157
      weight: 0.5914251642547961
- sources:
  - layer_range: [8, 12]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.8624665482114445
  - layer_range: [8, 12]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.9653265129666598
      weight: 0.3766720607532875
- sources:
  - layer_range: [12, 16]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.07115038977000693
  - layer_range: [12, 16]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 1.0
      weight: 0.5584722470438896
- sources:
  - layer_range: [16, 20]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.8512047827855883
      weight: 0.452376407390558
  - layer_range: [16, 20]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.8031611968588412
      weight: 0.7515473420070091
- sources:
  - layer_range: [20, 24]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.976603252481838
      weight: 0.3562637891615101
  - layer_range: [20, 24]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.6844571720911157
      weight: 0.2577079998117604
- sources:
  - layer_range: [24, 28]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 0.5572225974858718
      weight: 0.6323397851669135
  - layer_range: [24, 28]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 0.7949919158615303
      weight: 0.7932895770478385
- sources:
  - layer_range: [28, 32]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/e5-mistral-7b-instruct_2385958088
    parameters:
      density: 1.0
      weight: 0.6731678672160955
  - layer_range: [28, 32]
    model: ./evol_merge_storage_biomistral_e57b_tydien/input_models/BioMistral-7B_3601864449
    parameters:
      density: 1.0
      weight: 0.24914084912052575
```