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---
base_model:
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
- Sao10K/32B-Qwen2.5-Kunou-v1
- Rombo-Org/Rombo-LLM-V2.5-Qwen-32b
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
Wanted to take a stab at this so I quanted it, but only the 6bpw and 4bpw quants.
[This is the EXL2 4bpw version of this model. For the original model, go here](https://huggingface.co/Triangle104/Q2.5-32B-Tatewaki-Kunou)
<br>
[For the 6bpw version, go here](https://huggingface.co/Statuo/Qwen2.5-32b-Tatewaki-Kunou-EXL2-6bpw)
<br>
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
*The Blue Thunder*
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Sao10K/32B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/32B-Qwen2.5-Kunou-v1) as a base.
### Models Merged
The following models were included in the merge:
* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)
* [nbeerbower/Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B)
* [Rombo-Org/Rombo-LLM-V2.5-Qwen-32b](https://huggingface.co/Rombo-Org/Rombo-LLM-V2.5-Qwen-32b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
parameters:
density: 0.75
weight: 0.75
- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
parameters:
density: 0.5
weight: 0.5
- model: Sao10K/32B-Qwen2.5-Kunou-v1
parameters:
density: 0.8
weight: 1
- model: Rombo-Org/Rombo-LLM-V2.5-Qwen-32b
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Sao10K/32B-Qwen2.5-Kunou-v1
parameters:
normalize: false
int8_mask: true
dtype: float16
``` |