Resolving Interference When Merging Models
Paper
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2306.01708
•
Published
•
15
It seems better than DataSoul/QAQ-32B-merge2. But it is still not a 'thinking' model.
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: DataSoul/QAQ-32B-merge2
parameters:
weight: 0.382
density: 0.618
- model: zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated
parameters:
weight: 1
density: 1
merge_method: ties
base_model: zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated
tokenizer_source: zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated
parameters:
normalize: true
int8_mask: true
dtype: float16
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