---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- ja
- en
---
# final_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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [kawagoshi-llm-team/llma3_manydata_our_data_rope](https://huggingface.co/kawagoshi-llm-team/llma3_manydata_our_data_rope)  as a base.

### Models Merged

The following models were included in the merge:
* [kawagoshi-llm-team/llama3_sft_many_chat](https://huggingface.co/kawagoshi-llm-team/llama3_sft_many_chat)
* [kawagoshi-llm-team/llma3_manydata_not_our_data_rope](https://huggingface.co/kawagoshi-llm-team/llma3_manydata_not_our_data_rope)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: kawagoshi-llm-team/llma3_manydata_our_data_rope
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 8]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 0.7653375506603464
      weight: 0.13767610478325062
  - layer_range: [0, 8]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 0.7336602489449524
      weight: 0.3666639544856324
  - layer_range: [0, 8]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 1.0
      weight: 0.3030835610677404
- sources:
  - layer_range: [8, 16]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 0.9861387586510485
      weight: 0.3948174181228292
  - layer_range: [8, 16]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 0.8413699662162298
      weight: 0.45739982954282526
  - layer_range: [8, 16]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 1.0
      weight: 0.30274586211044396
- sources:
  - layer_range: [16, 24]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 0.9503146891835705
      weight: 0.2849061463174477
  - layer_range: [16, 24]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 0.832031377573231
      weight: 0.6047693096979141
  - layer_range: [16, 24]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 0.9442991059236329
      weight: 0.4002445342115458
- sources:
  - layer_range: [24, 32]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 0.8517897851608993
      weight: 0.3362716927810899
  - layer_range: [24, 32]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 1.0
      weight: 0.2909336827183003
  - layer_range: [24, 32]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 1.0
      weight: 0.3474712168573882
- sources:
  - layer_range: [32, 40]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 1.0
      weight: 0.27727322046805786
  - layer_range: [32, 40]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 0.8394275769864135
      weight: 0.4724670213437233
  - layer_range: [32, 40]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 1.0
      weight: 0.31333702280148296
tokenizer_source: base
```