---
base_model:
- deepcogito/cogito-v1-preview-llama-70B
- watt-ai/watt-tool-70B
- deepseek-ai/DeepSeek-R1-Distill-Llama-70B
- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
- meta-llama/Llama-3.3-70B-Instruct
library_name: transformers
tags:
- mergekit
- merge

---
# merged

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 TIES](https://arxiv.org/abs/2311.03099) 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:
* [deepcogito/cogito-v1-preview-llama-70B](https://huggingface.co/deepcogito/cogito-v1-preview-llama-70B)
* [watt-ai/watt-tool-70B](https://huggingface.co/watt-ai/watt-tool-70B)
* [deepseek-ai/DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B)
* [nvidia/Llama-3.1-Nemotron-70B-Instruct-HF](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
    parameters:
      weight: 0.25
      density: 0.5
  - model: watt-ai/watt-tool-70B
    parameters:
      weight: 0.25
      density: 0.5
  - model: deepcogito/cogito-v1-preview-llama-70B
    parameters:
      weight: 0.25
      density: 0.5
  - model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
    parameters:
      weight: 0.25
      density: 0.5
merge_method: dare_ties
base_model: meta-llama/Llama-3.3-70B-Instruct
parameters:
  normalize: false
out_dtype: bfloat16
chat_template: llama3
tokenizer:
 source: base
 pad_to_multiple_of: 8
```