Goodenberk / mergekit_config.yml
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models:
- model: Orion-zhen/Qwen2.5-7B-Gutenberg-KTO
- model: AlekseyKorshuk/ai-detection-gutenberg-human-choosed-formatted-ai-sft-qwen-7b-sft-3epochs
merge_method: slerp
tokenizer_merge_method: slerp
tokenizer_parameters:
t: 0.3 # Dà più peso al tokenizer
base_model: AlekseyKorshuk/ai-detection-gutenberg-human-choosed-formatted-ai-sft-qwen-7b-sft-3epochs
dtype: bfloat16
parameters:
t: [0, 0.2, 0.4, 0.5, 0.4, 0.2, 0] # Curva che favorisce leggermente
temp: 1.3 # Temperatura per smoothare il merge
density: # Density merging per bilanciare le caratteristiche dei due modelli
- threshold: 0.1
t: 0.7
- threshold: 0.5
t: 0.5
- threshold: 0.9
t: 0.3