---
base_model:
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- TheDrummer/Anubis-70B-v1
- unsloth/Llama-3.3-70B-Instruct
- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
library_name: transformers
tags:
- mergekit
- 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1) as a base.

### Models Merged

The following models were included in the merge:
* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1)
* [unsloth/Llama-3.3-70B-Instruct](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct)
* [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: unsloth/Llama-3.3-70B-Instruct
    parameters:
      density: [0.9, 0.1, 0.1]
      weight: [0.9, 0.3, 0.3]
  - model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
    parameters:
      density: [0.1, 0.7, 0.9]
      weight: [0.2, 0.5, 0.7]
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
    parameters:
      density: [0.1, 0.4, 0.2]
      weight: [0.1, 0.4, 0.2]
merge_method: dare_ties
base_model: TheDrummer/Anubis-70B-v1
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
```