File size: 1,390 Bytes
1598a53
 
 
 
 
 
 
 
 
935d276
1598a53
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
935d276
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
---
base_model:
- KoFinanceLLM/Qwen2.5-7B-CPT-Merge
- Qwen/Qwen2.5-7B-Instruct
- KoFinanceLLM/KRX-Qwen2.5-7B-SFT-MultiHiertt
library_name: transformers
tags:
- mergekit
- merge
- krx
---
# merged

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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [KoFinanceLLM/Qwen2.5-7B-CPT-Merge](https://huggingface.co/KoFinanceLLM/Qwen2.5-7B-CPT-Merge) as a base.

### Models Merged

The following models were included in the merge:
* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
* [KoFinanceLLM/KRX-Qwen2.5-7B-SFT-MultiHiertt](https://huggingface.co/KoFinanceLLM/KRX-Qwen2.5-7B-SFT-MultiHiertt)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: KoFinanceLLM/Qwen2.5-7B-CPT-Merge
dtype: bfloat16
merge_method: ties
parameters:
  density: 1.0
  int8_mask: 1.0
  normalize: 1.0
  weight: 1.0
slices:
- sources:
  - layer_range: [0, 28]
    model: KoFinanceLLM/KRX-Qwen2.5-7B-SFT-MultiHiertt
    parameters:
      density: 1.0
      weight: 1.0
  - layer_range: [0, 28]
    model: Qwen/Qwen2.5-7B-Instruct
    parameters:
      density: 1.0
      weight: 1.0
  - layer_range: [0, 28]
    model: KoFinanceLLM/Qwen2.5-7B-CPT-Merge
```