| merge_method: della_linear # Consider if the 'della_linear' merge method is optimal based on the latest benchmarks. Would a different method better balance task priorities? | |
| base_model: CultriX/Qwen2.5-14B-Wernickev3 | |
| dtype: bfloat16 | |
| parameters: | |
| epsilon: 0.01 # Epsilon is set for fine-grain precision. Consider validating this epsilon value against current benchmark results to ensure it effectively fine-tunes model behaviors and aligns with the intended benchmarks. | |
| lambda: 1.5 # Optimized for significant model contributions. Double-check if this value prioritizes the right model strengths effectively. | |
| normalize: true | |
| smoothing_factor: 0.08 # Double-check if this smoothing factor sufficiently supports task-specific performance across benchmarks, especially with diverse model contributions. Balanced blending to preserve model diversity. | |
| gradient_clipping: | |
| CultriX/Qwen2.5-14B-Wernickev3: 0.85 | |
| CultriX/Qwenfinity-2.5-14B: 0.82 | |
| djuna/Q2.5-Veltha-14B-0.5: 0.92 | |
| CultriX/Qwen2.5-14B-Broca: 0.86 | |
| qingy2019/Qwen2.5-Math-14B-Instruct: 0.94 | |
| CultriX/SeQwence-14Bv1: 0.87 | |
| sometimesanotion/Qwen2.5-14B-Vimarckoso: 0.90 | |
| allknowingroger/QwenSlerp6-14B: 0.86 | |
| models: | |
| - model: CultriX/Qwen2.5-14B-Wernickev3 | |
| parameters: | |
| weight: 0.25 | |
| density: 0.72 | |
| - model: CultriX/Qwenfinity-2.5-14B | |
| parameters: | |
| weight: 0.22 | |
| density: 0.68 | |
| - model: djuna/Q2.5-Veltha-14B-0.5 | |
| parameters: | |
| weight: 0.20 | |
| density: 0.75 | |
| - model: CultriX/Qwen2.5-14B-Broca | |
| parameters: | |
| weight: 0.16 | |
| density: 0.68 | |
| - model: qingy2019/Qwen2.5-Math-14B-Instruct | |
| parameters: | |
| weight: 0.19 | |
| density: 0.75 | |
| - model: CultriX/SeQwence-14Bv1 | |
| parameters: | |
| weight: 0.13 | |
| density: 0.65 | |
| - model: sometimesanotion/Qwen2.5-14B-Vimarckoso | |
| parameters: | |
| weight: 0.11 | |
| density: 0.62 | |
| - model: allknowingroger/QwenSlerp6-14B | |
| parameters: | |
| weight: 0.09 | |
| density: 0.65 | |
| adaptive_merge_parameters: | |
| task_weights: | |
| tinyArc: 1.65 | |
| tinyHellaswag: 1.55 | |
| tinyMMLU: 1.7 | |
| tinyTruthfulQA: 1.95 | |
| tinyTruthfulQA_mc1: 1.75 | |
| tinyWinogrande: 1.8 | |
| IFEval: 2.0 | |
| BBH: 1.75 | |
| MATH: 2.2 | |
| GPQA: 1.85 | |
| MUSR: 1.95 | |
| MMLU-PRO: 1.85 # Consider reviewing task_weights to confirm alignment with latest performance data and benchmarks for optimal configuration. | |
| tokenizer_source: CultriX/Qwen2.5-14B-Wernickev3 |