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---
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
```
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