---
base_model:
- ArliAI/QwQ-32B-ArliAI-RpR-v1
- trashpanda-org/Qwen2.5-32B-Marigold-v1
- trashpanda-org/Qwen2.5-32B-Marigold-v0
- mergekit-community/Qwen2.5-32B-gokgok-step3
library_name: transformers
tags:
- mergekit
- merge

---
# Balls

Nice writing, good ERP potential.

<Thinking?> It works with [LeCeption](https://huggingface.co/TheSkullery/Unnamed-Exp-70b-v0.6.A/blob/main/LeCeption-XML-V2.json)... But

It doesn't continue the story. The model just goes "...Finally, the response should *blah-blah-blah*" and that's it. It doesn't even close the `</think>` container!

So I guess you are better off just using the stepped thinking extension with `<think>` prefill in it rather than trying to get it to work in a single message.

**Settings:**

Samplers: top nsigma 1 with temp 1

Sys. prompt: aforementioned LeCeption or the one from [here](https://files.catbox.moe/b6nwbc.json) 

**Quants**

Q4_K_S:
https://huggingface.co/Yobenboben/Qwen2.5-32B-Juicy_Snowballs_Q4_K_S/resolve/main/bols.gguf?download=true

## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mergekit-community/Qwen2.5-32B-gokgok-step3](https://huggingface.co/mergekit-community/Qwen2.5-32B-gokgok-step3) as a base.

### Models Merged

The following models were included in the merge:
* [ArliAI/QwQ-32B-ArliAI-RpR-v1](https://huggingface.co/ArliAI/QwQ-32B-ArliAI-RpR-v1)
* [trashpanda-org/Qwen2.5-32B-Marigold-v1](https://huggingface.co/trashpanda-org/Qwen2.5-32B-Marigold-v1)
* [trashpanda-org/Qwen2.5-32B-Marigold-v0](https://huggingface.co/trashpanda-org/Qwen2.5-32B-Marigold-v0)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: trashpanda-org/Qwen2.5-32B-Marigold-v1
    parameters:
      weight: 0.9
      density: 0.9
  - model: trashpanda-org/Qwen2.5-32B-Marigold-v0
    parameters:
      weight: 1
      density: 1
  - model: ArliAI/QwQ-32B-ArliAI-RpR-v1
    parameters:
      weight: 1
      density: 1
merge_method: ties
base_model: mergekit-community/Qwen2.5-32B-gokgok-step3
parameters:
  weight: 0.9
  density: 0.9
  normalize: true
  int8_mask: true
tokenizer_source: ArliAI/QwQ-32B-ArliAI-RpR-v1
dtype: float32
out_dtype: bfloat16
```