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---
base_model:
- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
- rombodawg/Rombos-LLM-V2.5-Qwen-32b
- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
This model is a merge using Rombos's top-ranked 32b model, based on Qwen 2.5, and merging three creative writing finetunes. The creative content is a serious upgrade over the base it started with and has a much more literary style than the previous Writer model. I won't call it better or worse, merely a very distinct flavor and style. I quite like it, and enjoin you to try it as well. Enjoy!
GGUF models are avilable [here](https://huggingface.co/mradermacher/Qwen2.5-32b-Erudite-Writer-GGUF).
# merge
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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [rombodawg/Rombos-LLM-V2.5-Qwen-32b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-32b) as a base.
### Models Merged
The following models were included in the merge:
* [nbeerbower/Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B)
* [ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3)
* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
parameters:
int8_mask: true
rescale: false
normalize: true
lambda: 1.04
epsilon: 0.05
dtype: bfloat16
tokenizer_source: union
merge_method: della
models:
- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
parameters:
weight: [0.40]
density: [0.53]
- model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
parameters:
weight: [0.30]
density: [0.53]
- model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
parameters:
weight: [0.40]
density: [0.53]
``` |