Balls
Nice writing, good ERP potential.
<Thinking?> It works with LeCeption... 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
Quants
Merge Details
Merge Method
This model was merged using the TIES merge method using 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
- trashpanda-org/Qwen2.5-32B-Marigold-v1
- trashpanda-org/Qwen2.5-32B-Marigold-v0
Configuration
The following YAML configuration was used to produce this model:
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
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