---
base_model:
- SicariusSicariiStuff/Negative_LLAMA_70B
- TheDrummer/Anubis-70B-v1
- meta-llama/Llama-3.3-70B-Instruct
- Sao10K/70B-L3.3-Cirrus-x1
- Sao10K/L3.1-70B-Hanami-x1
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
library_name: transformers
tags:
- mergekit
- merge
license: llama3.3
---
Had to make another test model after getting a recommendation to try the 3.3 Llama instruct model as the base, and here it is. I am really having fun with this one. I think it beats 1.1 and 2.2.
# 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 [Linear 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:
* [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co./SicariusSicariiStuff/Negative_LLAMA_70B)
* [TheDrummer/Anubis-70B-v1](https://huggingface.co./TheDrummer/Anubis-70B-v1)
* [Sao10K/70B-L3.3-Cirrus-x1](https://huggingface.co./Sao10K/70B-L3.3-Cirrus-x1)
* [Sao10K/L3.1-70B-Hanami-x1](https://huggingface.co./Sao10K/L3.1-70B-Hanami-x1)
* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co./EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Sao10K/L3.1-70B-Hanami-x1
    parameters:
      weight: 0.20
      density: 0.7
  - model: Sao10K/70B-L3.3-Cirrus-x1
    parameters:
      weight: 0.20
      density: 0.7
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
    parameters:
      weight: 0.20
      density: 0.7
  - model: TheDrummer/Anubis-70B-v1
    parameters:
      weight: 0.20
      density: 0.7
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
    parameters:
      weight: 0.20
      density: 0.7
merge_method: della_linear
base_model: meta-llama/Llama-3.3-70B-Instruct
parameters:
  epsilon: 0.2
  lambda: 1.1
dype: float32
out_dtype: bfloat16
tokenizer:
 source: union
```