README.md

---
base_model:
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- unsloth/Meta-Llama-3.1-8B
- Replete-AI/Replete-Coder-V2-Llama-3.1-8b
- bunnycore/HyperLlama-3.1-8B
- Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit
- Replete-AI/Replete-LLM-V2-Llama-3.1-8b
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 breadcrumbs merge method using [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B) as a base.

### Models Merged

The following models were included in the merge:
* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
* [Replete-AI/Replete-Coder-V2-Llama-3.1-8b](https://huggingface.co/Replete-AI/Replete-Coder-V2-Llama-3.1-8b)
* [bunnycore/HyperLlama-3.1-8B](https://huggingface.co/bunnycore/HyperLlama-3.1-8B)
* [Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit](https://huggingface.co/Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit)
* [Replete-AI/Replete-LLM-V2-Llama-3.1-8b](https://huggingface.co/Replete-AI/Replete-LLM-V2-Llama-3.1-8b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Replete-AI/Replete-LLM-V2-Llama-3.1-8b
    parameters:
      density: 0.5
      weight: 0.5
  - model: bunnycore/HyperLlama-3.1-8B
    parameters:
      density: 0.5
      weight: 0.5
  - model: Replete-AI/Replete-Coder-V2-Llama-3.1-8b
    parameters:
      density: 0.5
      weight: 0.5
  - model: Solshine/reflection-llama-3.1-8B-Solshine-trainround3-16bit
    parameters:
      density: 0.5
      weight: 0.5
  - model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
    parameters:
      density: 0.5
      weight: 0.5

merge_method: breadcrumbs
base_model: unsloth/Meta-Llama-3.1-8B
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```