Hugging Face's logo

tinycompany
/
MergedBoi-v0.3

Text Generation
Transformers
Safetensors
qwen2
mergekit
Merge
conversational
text-generation-inference
Model card Files
xet
Community
MergedBoi-v0.3
File size: 3,184 Bytes 
374fef7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
125
126
127
128
129
130
131
132
133
134
135
136
137
 
---
base_model:
- tinycompany/Tamed-Sigma
- tinycompany/Tamed-Sigma-hi
- tinycompany/SigmaBoi-Instruct-nomic
library_name: transformers
tags:
- mergekit
- merge

---
# model3

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 TIES](https://arxiv.org/abs/2311.03099) merge method using [tinycompany/Tamed-Sigma-hi](https://huggingface.co/tinycompany/Tamed-Sigma-hi) as a base.

### Models Merged

The following models were included in the merge:
* [tinycompany/Tamed-Sigma](https://huggingface.co/tinycompany/Tamed-Sigma)
* [tinycompany/SigmaBoi-Instruct-nomic](https://huggingface.co/tinycompany/SigmaBoi-Instruct-nomic)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: tinycompany/Tamed-Sigma-hi
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 6]
    model: tinycompany/Tamed-Sigma
    parameters:
      density: 1.0
      weight: 0.6
  - layer_range: [0, 6]
    model: tinycompany/SigmaBoi-Instruct-nomic
    parameters:
      density: 0.6
      weight: 0.5
  - layer_range: [0, 6]
    model: tinycompany/Tamed-Sigma-hi
    parameters:
      density: 1.0
      weight: 0.5
- sources:
  - layer_range: [6, 12]
    model: tinycompany/Tamed-Sigma
    parameters:
      density: 0.8
      weight: 0.1
  - layer_range: [6, 12]
    model: tinycompany/SigmaBoi-Instruct-nomic
    parameters:
      density: 1.0
      weight: 0.2
  - layer_range: [6, 12]
    model: tinycompany/Tamed-Sigma-hi
    parameters:
      density: 1.0
      weight: 0.7
- sources:
  - layer_range: [12, 18]
    model: tinycompany/Tamed-Sigma
    parameters:
      density: 0.7
      weight: 0.1
  - layer_range: [12, 18]
    model: tinycompany/SigmaBoi-Instruct-nomic
    parameters:
      density: 0.7
      weight: 0.2
  - layer_range: [12, 18]
    model: tinycompany/Tamed-Sigma-hi
    parameters:
      density: 0.7
      weight: 0.6
- sources:
  - layer_range: [18, 24]
    model: tinycompany/Tamed-Sigma
    parameters:
      density: 0.9
      weight: 0.2
  - layer_range: [18, 24]
    model: tinycompany/SigmaBoi-Instruct-nomic
    parameters:
      density: 0.6
      weight: 0.6
  - layer_range: [18, 24]
    model: tinycompany/Tamed-Sigma-hi
    parameters:
      density: 0.7
      weight: 0.3
- sources:
  - layer_range: [24, 30]
    model: tinycompany/Tamed-Sigma
    parameters:
      density: 1.0
      weight: 0.2
  - layer_range: [24, 30]
    model: tinycompany/SigmaBoi-Instruct-nomic
    parameters:
      density: 1.0
      weight: 0.2
  - layer_range: [24, 30]
    model: tinycompany/Tamed-Sigma-hi
    parameters:
      density: 0.9
      weight: 0.4
- sources:
  - layer_range: [30, 36]
    model: tinycompany/Tamed-Sigma
    parameters:
      density: 0.7
      weight: 0.2
  - layer_range: [30, 36]
    model: tinycompany/SigmaBoi-Instruct-nomic
    parameters:
      density: 0.9
      weight: 0.3
  - layer_range: [30, 36]
    model: tinycompany/Tamed-Sigma-hi
    parameters:
      density: 1.0
      weight: 0.4

```