File size: 1,880 Bytes
c37eba1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# DoubleBagel-57B-v1.0

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 passthrough merge method.

### Models Merged

The following models were included in the merge:
* ./jondurbin_bagel-34b-v0.2

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: float32
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 20]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [10, 30]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [20, 40]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [30, 50]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
- sources:
  - layer_range: [40, 60]
    model: "jondurbin_bagel-34b-v0.2"
    parameters:
      scale:
        - filter: q_proj
          value: 0.7071067812
        - filter: k_proj
          value: 0.7071067812
        - value: 1
name: 2xbagel_fp32
---
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 100]
    model: 2xbagel_fp32
name: bagel_new

```