Qwenwify2.5-32B-v4.6-ED / mergekit_config.yml
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models:
- model: Kaoeiri/Qwenwify-32B-v3 # backbone model, used for fusion
parameters:
weight: 1.0
density: 0.92
- model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
parameters:
weight: 0.5
density: 0.425
- model: Sao10K/32B-Qwen2.5-Kunou-v1 # RP and synthetic storywriting
parameters:
weight: 0.30
density: 0.75
- model: Dans-DiscountModels/Qwen2.5-32B-ChatML # logic and chatting focus
parameters:
weight: 0.15
density: 0.85
- model: OpenBuddy/openbuddy-qwq-32b-v24.2-200k # Chinese-heavy datasets, raw, diverse
parameters:
weight: 0.25
density: 0.88
- model: Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B # Japanese-focused, base model
parameters:
weight: 0.20
density: 0.82
- model: allura-org/Qwen2.5-32b-RP-Ink # RP-focused, unique character traits
parameters:
weight: 0.28
density: 0.78
- model: AiCloser/Qwen2.5-32B-AGI
parameters:
weight: 0.15
density: 0.68
- model: huihui-ai/QwQ-32B-Preview-abliterated
parameters:
weight: 0.14
density: 0.68
- model: huihui-ai/Qwen2.5-32B-Instruct-abliterated
parameters:
weight: 0.23
density: 0.78
merge_method: dare_ties
base_model: Qwen/QwQ-32B-Preview
parameters:
density: 0.90
epsilon: 0.05
lambda: 1.35
random_seed: 42
dtype: bfloat16
tokenizer_source: union