File size: 1,814 Bytes
89aeb51
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
base_model:
- nitky/Llama-3.1-SuperSwallow-70B-Instruct-v0.1
- Saxo/Linkbricks-Horizon-AI-Japanese-Base-70B
- meta-llama/Llama-3.3-70B-Instruct
- MaziyarPanahi/calme-2.3-llama3.1-70b
library_name: transformers
tags:
- mergekit
- merge

---
# Linkbricks-Horizon-AI-Japanese-Avdvanced-V11-70B

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 [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [nitky/Llama-3.1-SuperSwallow-70B-Instruct-v0.1](https://huggingface.co/nitky/Llama-3.1-SuperSwallow-70B-Instruct-v0.1)
* [Saxo/Linkbricks-Horizon-AI-Japanese-Base-70B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Japanese-Base-70B)
* [MaziyarPanahi/calme-2.3-llama3.1-70b](https://huggingface.co/MaziyarPanahi/calme-2.3-llama3.1-70b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: meta-llama/Llama-3.3-70B-Instruct
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
slices:
- sources:
  - layer_range: [0, 80]
    model: meta-llama/Llama-3.3-70B-Instruct
  - layer_range: [0, 80]
    model: Saxo/Linkbricks-Horizon-AI-Japanese-Base-70B
    parameters:
      density: 0.53
      weight: 0.3
  - layer_range: [0, 80]
    model: nitky/Llama-3.1-SuperSwallow-70B-Instruct-v0.1
    parameters:
      density: 0.53
      weight: 0.4
  - layer_range: [0, 80]
    model: MaziyarPanahi/calme-2.3-llama3.1-70b
    parameters:
      density: 0.53
      weight: 0.3
tokenizer_source: union
```