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---
base_model:
- ZeusLabs/Chronos-Platinum-72B
- EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
- m8than/banana-2-b-72b
- abacusai/Dracarys2-72B-Instruct
- rombodawg/Rombos-LLM-V2.5-Qwen-72b
- Qwen/Qwen2.5-72B
library_name: transformers
tags:
- mergekit
- merge
---
# EurobeatVARemix-Qwen2.5-72b
[![image/png](https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/UqQ-TJ8ZgHk02zvO7Oy11.png)](https://www.youtube.com/watch?v=1gW1uHRPChc)
Updated EVA to 0.1. That's all folks!
...It didn't feel right calling it LLENN anymore so I'm changing the name. ["Pray I don't alter it any further."](<https://www.youtube.com/watch?v=WpE_xMRiCLE>)
**Please do not ask for quants, contact others instead.**
*All models are ready for testing on [featherless.ai](https://featherless.ai) as soon as it goes live.*
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-72B](https://huggingface.co/Qwen/Qwen2.5-72B) as a base.
### Prompt Format
ChatML works for the most part.
### Sampler Settings
Personally I use the following:
```
Temp: 1.2
Min P: 0.07
Rep Pen: 1.1
```
Others have suggested the following:
```
Temp: 1.1
Top P: 0.98
Min P: 0.05
```
### Models Merged
The following models were included in the merge:
* [ZeusLabs/Chronos-Platinum-72B](https://huggingface.co/ZeusLabs/Chronos-Platinum-72B)
* [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1)
* [m8than/banana-2-b-72b](https://huggingface.co/m8than/banana-2-b-72b)
* [abacusai/Dracarys2-72B-Instruct](https://huggingface.co/abacusai/Dracarys2-72B-Instruct)
* [rombodawg/Rombos-LLM-V2.5-Qwen-72b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-72b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.1
- model: ZeusLabs/Chronos-Platinum-72B
- model: abacusai/Dracarys2-72B-Instruct
- model: rombodawg/Rombos-LLM-V2.5-Qwen-72b
- model: m8than/banana-2-b-72b
merge_method: model_stock
base_model: Qwen/Qwen2.5-72B
parameters:
normalize: true
dtype: bfloat16
```