---
base_model:
- KaraKaraWitch/SteyrCannon-Qwen2.5-72b
- EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
- ZeusLabs/Chronos-Platinum-72B
- m8than/banana-2-b-72b
library_name: transformers
tags:
- mergekit
- merge
---
# Matsutei-Qwen2.5-72b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
SteyrCannon had a weird vibe issue when it comes to world book lore info. So I've been falling back to my EurobeatVARemix merge. This merge should address that inital issue but I think there's other quirks to this one.
## Quants & Hosts
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1) as a base.
### Models Merged
The following models were included in the merge:
* [KaraKaraWitch/SteyrCannon-Qwen2.5-72b](https://huggingface.co/KaraKaraWitch/SteyrCannon-Qwen2.5-72b)
* [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1)
* [ZeusLabs/Chronos-Platinum-72B](https://huggingface.co/ZeusLabs/Chronos-Platinum-72B)
* [EVAm8than/banana-2-b-72b](https://huggingface.co/m8than/banana-2-b-72b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: KaraKaraWitch/SteyrCannon-Qwen2.5-72b
parameters:
density: 0.25
weight: 0.5
- model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
parameters:
density: 0.5
weight: 0.75
- model: ZeusLabs/Chronos-Platinum-72B
parameters:
density: 0.5
weight: 0.5
- model: m8than/banana-2-b-72b
parameters:
density: 0.65
weight: 0.40
merge_method: ties
base_model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
parameters:
normalize: true
dtype: bfloat16
```