---
base_model:
- Sao10K/Llama-3.1-8B-Stheno-v3.4
- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
library_name: transformers
tags:
- mergekit
- merge
- llama
---

# Simply "Llama3.1-Stheno-v3.4" by [Sao10K](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4) with abliteration adaption from [grimjim](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B)

# Thanks mradermacher for the quants.
* [GGUF](https://huggingface.co/mradermacher/Llama-3.1-8B-Stheno-v3.4-abliterated-GGUF)
* [GGUF imatrix](https://huggingface.co/mradermacher/Llama-3.1-8B-Stheno-v3.4-abliterated-i1-GGUF)
  
# Quant
* [GGUF](https://huggingface.co/v000000/Llama-3.1-8B-Stheno-v3.4-abliterated-GGUF)

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

### Models Merged

The following models were included in the merge:
* [Sao10K/Llama-3.1-8B-Stheno-v3.4](https://huggingface.co/Sao10K/Llama-3.1-8B-Stheno-v3.4) + [grimjim/Llama-3-Instruct-abliteration-LoRA-8B](https://huggingface.co/grimjim/Llama-3-Instruct-abliteration-LoRA-8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Sao10K/Llama-3.1-8B-Stheno-v3.4+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
    parameters:
      weight: 1.0
merge_method: linear
dtype: float32
```