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Hermes-Llama-Merge

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Hermes-Llama-Merge
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---
base_model:
- NousResearch/Hermes-3-Llama-3.1-8B
- lcw99/llama-3-8b-it-ko-chang
- maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
- maywell/Llama-3-Ko-8B-Instruct
- meta-llama/Meta-Llama-3.1-8B
- tesser-ai/Tesser-Llama-3-Ko-8B
- beomi/Llama-3-Open-Ko-8B-Instruct-preview
- openchat/openchat-3.6-8b-20240522
- MLP-KTLim/llama-3-Korean-Bllossom-8B
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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [NousResearch/Hermes-3-Llama-3.1-8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B) as a base.

### Models Merged

The following models were included in the merge:
* [lcw99/llama-3-8b-it-ko-chang](https://huggingface.co/lcw99/llama-3-8b-it-ko-chang)
* [maum-ai/Llama-3-MAAL-8B-Instruct-v0.1](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1)
* [maywell/Llama-3-Ko-8B-Instruct](https://huggingface.co/maywell/Llama-3-Ko-8B-Instruct)
* [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B)
* [tesser-ai/Tesser-Llama-3-Ko-8B](https://huggingface.co/tesser-ai/Tesser-Llama-3-Ko-8B)
* [beomi/Llama-3-Open-Ko-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview)
* [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522)
* [MLP-KTLim/llama-3-Korean-Bllossom-8B](https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: openchat/openchat-3.6-8b-20240522
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
      - model: MLP-KTLim/llama-3-Korean-Bllossom-8B
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
      - model: lcw99/llama-3-8b-it-ko-chang
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
      - model: beomi/Llama-3-Open-Ko-8B-Instruct-preview
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
      - model: maywell/Llama-3-Ko-8B-Instruct
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
      - model: tesser-ai/Tesser-Llama-3-Ko-8B
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
      - model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
      - model: meta-llama/Meta-Llama-3.1-8B
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
      - model: NousResearch/Hermes-3-Llama-3.1-8B
        layer_range: [0, 32]
        parameters:
            filter_wise: false # calculate with per-tensor. Not recommended
merge_method: model_stock
base_model: NousResearch/Hermes-3-Llama-3.1-8B
dtype: bfloat16
```