File size: 1,106 Bytes
c67b423
 
 
 
70fede0
c67b423
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
70fede0
c67b423
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
base_model:
- meta-math/MetaMath-Mistral-7B
- chanwit/flux-7b-base-stage-0
library_name: transformers
tags:
- mergekit
- merge

---
# merge

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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
* [chanwit/flux-7b-base-stage-0](https://huggingface.co/chanwit/flux-7b-base-stage-0)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

merge_method: slerp
base_model: chanwit/flux-7b-base-stage-0
slices:
  - sources:
      - model: chanwit/flux-7b-base-stage-0
        layer_range: [0, 32]
      - model: meta-math/MetaMath-Mistral-7B
        layer_range: [0, 32]
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5 # fallback for rest of tensors
dtype: bfloat16

```