---
base_model:
- nbeerbower/Llama-3.1-Nemotron-lorablated-70B
- TheDrummer/Anubis-70B-v1
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- Sao10K/L3.1-70B-Hanami-x1
- Sao10K/70B-L3.3-Cirrus-x1
- SicariusSicariiStuff/Negative_LLAMA_70B
library_name: transformers
tags:
- mergekit
- merge
license: llama3.3
---
I am experimenting with some of the DELLA merge method parameters. 
# Progenitor-V2.3-70B

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 nbeerbower/Llama-3.1-Nemotron-lorablated-70B as a base.

### Models Merged
The following models were included in the merge:

EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
Sao10K/L3.1-70B-Hanami-x1
Sao10K/70B-L3.3-Cirrus-x1
TheDrummer/Anubis-70B-v1
SicariusSicariiStuff/Negative_LLAMA_70B

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Sao10K/L3.1-70B-Hanami-x1
    parameters:
      weight: 0.20
  - model: Sao10K/70B-L3.3-Cirrus-x1
    parameters:
      weight: 0.20
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
    parameters:
      weight: 0.20
  - model: TheDrummer/Anubis-70B-v1
    parameters:
      weight: 0.20
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
    parameters:
      weight: 0.20
merge_method: della
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
  density: 0.7
  epsilon: 0.15
  lambda: 1.1
  rescale: 1
  window_size: 0.14
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: union
```