README.md

---
base_model:
- TheDrummer/Anubis-70B-v1
- Sao10K/70B-L3.3-Cirrus-x1
- ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
- LatitudeGames/Wayfarer-Large-70B-Llama-3.3
- NeverSleep/Lumimaid-v0.2-70B
library_name: transformers
tags:
- mergekit
- merge

---
# M-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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [Sao10K/70B-L3.3-Cirrus-x1](https://huggingface.co/Sao10K/70B-L3.3-Cirrus-x1) as a base.

### Models Merged

The following models were included in the merge:
* [TheDrummer/Anubis-70B-v1](https://huggingface.co/TheDrummer/Anubis-70B-v1)
* [ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4](https://huggingface.co/ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4)
* [LatitudeGames/Wayfarer-Large-70B-Llama-3.3](https://huggingface.co/LatitudeGames/Wayfarer-Large-70B-Llama-3.3)
* [NeverSleep/Lumimaid-v0.2-70B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-70B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: NeverSleep/Lumimaid-v0.2-70B
    parameters:
      weight: 0.15
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TheDrummer/Anubis-70B-v1
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: Sao10K/70B-L3.3-Cirrus-x1
    parameters:
      weight: 0.25
      density: 0.7
      epsilon: 0.1
      lambda: 1
base_model: Sao10K/70B-L3.3-Cirrus-x1
merge_method: della_linear
parameters:
  normalize: false
  int8_mask: true
chat_template: llama3
tokenizer:
  source: union
dtype: bfloat16
```