---
base_model:
- crestf411/L3-8B-sunfall-abliterated-v0.2
- Nitral-AI/Poppy_Porpoise-0.72-L3-8B
- Nitral-Archive/Poppy_Porpoise-Biomix
- NousResearch/Meta-Llama-3-8B-Instruct
- Hastagaras/HALU-8B-LLAMA3-BRSLURP
- Sao10K/L3-8B-Stheno-v3.2
- cgato/L3-TheSpice-8b-v0.8.3
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [crestf411/L3-8B-sunfall-abliterated-v0.2](https://huggingface.co/crestf411/L3-8B-sunfall-abliterated-v0.2)
* [Nitral-AI/Poppy_Porpoise-0.72-L3-8B](https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.72-L3-8B)
* [Nitral-Archive/Poppy_Porpoise-Biomix](https://huggingface.co/Nitral-Archive/Poppy_Porpoise-Biomix)
* [Hastagaras/HALU-8B-LLAMA3-BRSLURP](https://huggingface.co/Hastagaras/HALU-8B-LLAMA3-BRSLURP)
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: crestf411/L3-8B-sunfall-abliterated-v0.2
    parameters:
      weight: 0.1
      density: 0.18
  - model: Hastagaras/HALU-8B-LLAMA3-BRSLURP
    parameters:
      weight: 0.1
      density: 0.3
  - model: Nitral-Archive/Poppy_Porpoise-Biomix
    parameters:
      weight: 0.1
      density: 0.42
  - model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      weight: 0.2
      density: 0.54
  - model: Sao10K/L3-8B-Stheno-v3.2
    parameters:
      weight: 0.2
      density: 0.66
  - model: Nitral-AI/Poppy_Porpoise-0.72-L3-8B
    parameters:
      weight: 0.3
      density: 0.78
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
  int8_mask: true
dtype: bfloat16

```