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---
base_model:
- v000000/Llama-3.1-8B-Stheno-v3.4-abliterated
- akjindal53244/Llama-3.1-Storm-8B
- Sao10K/Llama-3.1-8B-Stheno-v3.4
library_name: transformers
tags:
- mergekit
- merge
- llama
---
# Llama-3.1-Sthenorm-8B
RP model, Stheno3.4 with one of the smartest 3.1 models, half abliterated.
# Thanks mradermacher for the quants:
* [GGUF](https://huggingface.co/mradermacher/L3.1-Sthenorm-8B-GGUF)
* [GGUF imatrix](https://huggingface.co/mradermacher/L3.1-Sthenorm-8B-i1-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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [v000000/Llama-3.1-8B-Stheno-v3.4-abliterated](https://huggingface.co/v000000/Llama-3.1-8B-Stheno-v3.4-abliterated)
* [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: v000000/Llama-3.1-8B-Stheno-v3.4-abliterated
layer_range: [0, 32]
- model: akjindal53244/Llama-3.1-Storm-8B
layer_range: [0, 32]
merge_method: slerp
base_model: v000000/Llama-3.1-8B-Stheno-v3.4-abliterated
parameters:
t:
- filter: self_attn
value: [0.1, 0.6, 0.3, 0.8, 0.5]
- filter: mlp
value: [0.9, 0.4, 0.7, 0.2, 0.5]
- value: 0.5
dtype: float32
```
# Prompt Template:
```bash
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{output}<|eot_id|>
``` |