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MergeModelAll

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MergeModelAll
File size: 3,075 Bytes
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---
base_model:
- Nisk36/finetuned-lmsys_vicuna-7b-v1.5
- Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
library_name: transformers
tags:
- mergekit
- merge

---
# final_model

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 [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [Nisk36/finetuned-lmsys_vicuna-7b-v1.5](https://huggingface.co/Nisk36/finetuned-lmsys_vicuna-7b-v1.5)
* [Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct](https://huggingface.co/Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
merge_method: linear
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 4]
    model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
    parameters:
      weight: 0.6235769265047518
  - layer_range: [0, 4]
    model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
    parameters:
      weight: 0.7274442555681364
- sources:
  - layer_range: [4, 8]
    model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
    parameters:
      weight: 0.5271398694239577
  - layer_range: [4, 8]
    model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
    parameters:
      weight: 0.3489250438855029
- sources:
  - layer_range: [8, 12]
    model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
    parameters:
      weight: 0.15496421762028023
  - layer_range: [8, 12]
    model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
    parameters:
      weight: 0.541330668871115
- sources:
  - layer_range: [12, 16]
    model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
    parameters:
      weight: 0.5267269624685371
  - layer_range: [12, 16]
    model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
    parameters:
      weight: 0.8265113027826562
- sources:
  - layer_range: [16, 20]
    model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
    parameters:
      weight: 0.6599861585345389
  - layer_range: [16, 20]
    model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
    parameters:
      weight: -0.249060520039947
- sources:
  - layer_range: [20, 24]
    model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
    parameters:
      weight: 0.7761318532349375
  - layer_range: [20, 24]
    model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
    parameters:
      weight: 0.7040995904551324
- sources:
  - layer_range: [24, 28]
    model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
    parameters:
      weight: 0.40152017541360374
  - layer_range: [24, 28]
    model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
    parameters:
      weight: 0.767141768059921
- sources:
  - layer_range: [28, 32]
    model: Nisk36/finetuned-lmsys_vicuna-7b-v1.5
    parameters:
      weight: -0.004536646708608122
  - layer_range: [28, 32]
    model: Nisk36/FT_elyza_ELYZA-japanese-Llama-2-7b-instruct
    parameters:
      weight: 0.8295357241419378
```