---
base_model:
- MaziyarPanahi/calme-2.3-llama3.1-70b
- deepseek-ai/DeepSeek-R1-Distill-Llama-70B
- Steelskull/L3.3-MS-Nevoria-70b
- Daemontatox/Llama3.3-70B-CogniLink
- VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct
- Triangle104/Set-70b
library_name: transformers
tags:
- mergekit
- merge
license: llama3.3
---
{{CAUTION: WIP}} This is a bit of an experiment, trying to merge some smart models together, which I will then combine with a RP focused 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 [SCE](https://arxiv.org/abs/2408.07990) merge method using [VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [MaziyarPanahi/calme-2.3-llama3.1-70b](https://huggingface.co/MaziyarPanahi/calme-2.3-llama3.1-70b)
* [deepseek-ai/DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B)
* [Steelskull/L3.3-MS-Nevoria-70b](https://huggingface.co/Steelskull/L3.3-MS-Nevoria-70b)
* [Daemontatox/Llama3.3-70B-CogniLink](https://huggingface.co/Daemontatox/Llama3.3-70B-CogniLink)
* [Triangle104/Set-70b](https://huggingface.co/Triangle104/Set-70b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  # Pivot model
  - model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
  # Target models
  - model: Daemontatox/Llama3.3-70B-CogniLink
  - model: Triangle104/Set-70b
  - model: MaziyarPanahi/calme-2.3-llama3.1-70b
  - model: Steelskull/L3.3-MS-Nevoria-70b
merge_method: sce
base_model: VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct
parameters:
  select_topk: 1.0
dtype: bfloat16
```