They're a bit confused, but they got the spirit :)
Mostly wanted a capable version of Qwen3.5-27B at hand who wasn't too strait-laced.
They'd probably benefit from a dash more training to cohere their weights together a bit.
Sometimes they toss medical reasoning traces into unrelated contexts.
Sometimes they forget to output after ending their reasoning, or put the output in their reasoning.
Seem neat, tho.
This is a merge of pre-trained language models created using
mergekit
.
Merge Details
Merge Method
This model was merged using the WAVE merge method using
Qwen/Qwen3.5-27B
as a base.
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