QwQ-R1-Distill-Merge-32B
Testing locally it behaved very well for math problems. It usually starts a problem without the tag, but ends by closing it when using chatml template.
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- /models/Qwen/QwQ-32B
- /models/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Configuration
The following YAML configuration was used to produce this model:
base_model: /models/Qwen/QwQ-32B
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 64]
model: /models/Qwen/QwQ-32B
- layer_range: [0, 64]
model: /models/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
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