| merge_method: della_linear | |
| base_model: Qwen/Qwen2.5-7B-Instruct | |
| dtype: bfloat16 | |
| parameters: | |
| epsilon: 0.015 # Fine-grain scaling for precision. | |
| lambda: 1.6 # Strong emphasis on top-performing models. | |
| normalize: true # Stable parameter integration across models. | |
| adaptive_merge_parameters: | |
| task_weights: | |
| tinyArc: 1.75 # Logical reasoning. | |
| tinyHellaswag: 1.65 # Contextual predictions. | |
| tinyMMLU: 1.8 # Domain knowledge. | |
| tinyTruthfulQA: 2.0 # Prioritize truthful reasoning. | |
| tinyTruthfulQA_mc1: 1.85 | |
| tinyWinogrande: 1.9 # Advanced reasoning and predictions. | |
| IFEval: 2.1 # Instruction-following and multitasking. | |
| BBH: 2.25 # Complex reasoning. | |
| MATH: 2.4 # Mathematical reasoning. | |
| GPQA: 2.35 # Factual QA. | |
| MUSR: 2.3 # Multi-step reasoning. | |
| MMLU-PRO: 2.35 # Domain multitask performance. | |
| smoothing_factor: 0.05 # TURN UP THE SMOOTH! | |
| models: | |
| - model: Qwen/Qwen2.5-7B-Instruct | |
| parameters: | |
| weight: 0.65 | |
| density: 0.65 | |
| - model: huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3 | |
| parameters: | |
| weight: 0.1 | |
| density: 0.1 | |
| - model: rombodawg/Rombos-LLM-V2.5-Qwen-7b | |
| parameters: | |
| weight: 0.15 | |
| density: 0.15 | |
| - model: fblgit/cybertron-v4-qw7B-MGS | |
| parameters: | |
| weight: 0.05 | |
| density: 0.05 | |
| - model: FreedomIntelligence/HuatuoGPT-o1-7B | |
| parameters: | |
| weight: 0.05 | |
| density: 0.05 | |