merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear DELLA merge method using arcee-ai/SuperNova-Medius as a base.
Models Merged
The following models were included in the merge:
- allura-org/TQ2.5-14B-Aletheia-v1
- huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
- v000000/Qwen2.5-Lumen-14B
Configuration
The following YAML configuration was used to produce this model:
merge_method: della_linear
dtype: float32
out_dtype: bfloat16
parameters:
epsilon: 0.04
lambda: 1.05
normalize: true
base_model: arcee-ai/SuperNova-Medius
tokenizer_source: arcee-ai/SuperNova-Medius
models:
- model: arcee-ai/SuperNova-Medius
parameters:
weight: 10
density: 1
- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
parameters:
weight: 7
density: 0.5
- model: v000000/Qwen2.5-Lumen-14B
parameters:
weight: 7
density: 0.4
- model: allura-org/TQ2.5-14B-Aletheia-v1
parameters:
weight: 8
density: 0.4
- model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
parameters:
weight: 8
density: 0.45
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