---
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).

<div>
  <a href="https://www.youtube.com/watch?v=Bv1u_e_91Ow"><img src="https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/IPyNLo-Yd1X0Kw9Csn3dx.png" style="margin-left:auto;margin-right:auto"></a>
</div>

SteyrCannon had a weird vibe issue when it comes to world book lore info (When starting from afresh, it might get confused when world info is injected due to double chat messages). 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

<TBC>

## 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
```