README.md

---
base_model:
- schonsense/SOG_10k_70B
- meta-llama/Llama-3.1-70B
- meta-llama/Llama-3.3-70B-Instruct
- schonsense/70B_unstructWR
library_name: transformers
tags:
- mergekit
- merge

---
# 70B_SOG_unstructed

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6317d4867690c5b55e61ce3d/Ffz7KZjg70xYP58TRhIiG.png)

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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [schonsense/SOG_10k_70B](https://huggingface.co/schonsense/SOG_10k_70B)
* [meta-llama/Llama-3.1-70B](https://huggingface.co/meta-llama/Llama-3.1-70B)
* [schonsense/70B_unstructWR](https://huggingface.co/schonsense/70B_unstructWR)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:

  - model: schonsense/70B_unstructWR
    parameters:
      density: 0.7
      epsilon: 0.2
      weight: 0.4

  - model: schonsense/SOG_10k_70B
    parameters:
      density: 0.7
      epsilon: 0.2
      weight: 0.5
       
  - model: meta-llama/Llama-3.1-70B
    parameters:
      density: 0.8
      epsilon: 0.1
      weight: 0.1

  - model: meta-llama/Llama-3.3-70B-Instruct
merge_method: della
base_model: meta-llama/Llama-3.3-70B-Instruct
tokenizer_source: meta-llama/Llama-3.3-70B-Instruct
parameters:
  normalize: false
  int8_mask: false
  lambda: 1.0


dtype: float32

out_dtype: bfloat16
```