---
base_model:
- Sao10K/Llama-3.3-70B-Vulpecula-r1
- SicariusSicariiStuff/Negative_LLAMA_70B
- Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
- TareksLab/L33R1-BASE-70B
- Sao10K/L3.3-70B-Euryale-v2.3
library_name: transformers
tags:
- mergekit
- merge

---
# MERGE3

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 [TareksLab/L33R1-BASE-70B](https://huggingface.co/TareksLab/L33R1-BASE-70B) as a base.

### Models Merged

The following models were included in the merge:
* [Sao10K/Llama-3.3-70B-Vulpecula-r1](https://huggingface.co/Sao10K/Llama-3.3-70B-Vulpecula-r1)
* [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B)
* [Doctor-Shotgun/L3.3-70B-Magnum-v4-SE](https://huggingface.co/Doctor-Shotgun/L3.3-70B-Magnum-v4-SE)
* [Sao10K/L3.3-70B-Euryale-v2.3](https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
    parameters:
      weight: 0.20
      density: 0.5
  - model: Sao10K/L3.3-70B-Euryale-v2.3
    parameters:
      weight: 0.20
      density: 0.5
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
    parameters:
      weight: 0.20
      density: 0.5
  - model: Sao10K/Llama-3.3-70B-Vulpecula-r1
    parameters:
      weight: 0.20
      density: 0.5
  - model: TareksLab/L33R1-BASE-70B
    parameters:
      weight: 0.20
      density: 0.5
merge_method: dare_ties
base_model: TareksLab/L33R1-BASE-70B
parameters:
  normalize: false
  int8_mask: true 
dtype: float32
out_dtype: bfloat16
chat_template: llama3
tokenizer:
 source: Sao10K/Llama-3.3-70B-Vulpecula-r1
 pad_to_multiple_of: 8
```