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--- |
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base_model: |
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- sometimesanotion/Qwen2.5-14B-Vimarckoso |
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- CultriX/SeQwence-14B-EvolMerge |
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- CultriX/Qwen2.5-14B-SLERPv7 |
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- CultriX/SeQwence-14Bv1 |
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- qingy2019/Qwen2.5-Math-14B-Instruct |
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- allknowingroger/QwenSlerp6-14B |
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- CultriX/Qwen2.5-14B-Wernicke |
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- VAGOsolutions/SauerkrautLM-v2-14b-DPO |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [CultriX/SeQwence-14Bv1](https://huggingface.co/CultriX/SeQwence-14Bv1) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [sometimesanotion/Qwen2.5-14B-Vimarckoso](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso) |
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* [CultriX/SeQwence-14B-EvolMerge](https://huggingface.co/CultriX/SeQwence-14B-EvolMerge) |
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* [CultriX/Qwen2.5-14B-SLERPv7](https://huggingface.co/CultriX/Qwen2.5-14B-SLERPv7) |
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* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct) |
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* [allknowingroger/QwenSlerp6-14B](https://huggingface.co/allknowingroger/QwenSlerp6-14B) |
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* [CultriX/Qwen2.5-14B-Wernicke](https://huggingface.co/CultriX/Qwen2.5-14B-Wernicke) |
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* [VAGOsolutions/SauerkrautLM-v2-14b-DPO](https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-DPO) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: VAGOsolutions/SauerkrautLM-v2-14b-DPO |
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parameters: |
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weight: 0.20 # Strong IFEval and factual reasoning baseline |
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density: 0.6 |
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- model: allknowingroger/QwenSlerp6-14B |
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parameters: |
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weight: 0.20 # Balanced reasoning across multiple benchmarks |
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density: 0.6 |
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- model: CultriX/SeQwence-14B-EvolMerge |
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parameters: |
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weight: 0.15 # Generalist model for BBH and MUSR |
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density: 0.5 |
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- model: CultriX/Qwen2.5-14B-Wernicke |
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parameters: |
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weight: 0.15 # QA leader for GPQA and MUSR |
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density: 0.6 # Increase density to preserve more QA-specific parameters |
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- model: qingy2019/Qwen2.5-Math-14B-Instruct |
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parameters: |
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weight: 0.15 # Specialist for MATH and advanced reasoning |
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density: 0.6 |
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- model: sometimesanotion/Qwen2.5-14B-Vimarckoso |
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parameters: |
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weight: 0.10 # MUSR leader for nuanced multi-step reasoning |
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density: 0.5 |
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- model: CultriX/Qwen2.5-14B-SLERPv7 |
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parameters: |
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weight: 0.05 # Contextual reasoning support for BBH and tiny benchmarks |
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density: 0.5 |
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base_model: CultriX/SeQwence-14Bv1 |
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merge_method: dare_ties |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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adaptive_merge_parameters: |
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task_weights: |
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IFEval: 1.3 # Enhanced instruction-following and factual tasks |
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BBH: 1.3 # Strengthened complex reasoning capabilities |
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MATH_Lvl_5: 1.4 # Prioritize advanced mathematical tasks |
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GPQA: 1.4 # Boost graduate-level knowledge capabilities |
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MuSR: 1.3 # Strengthen multi-step reasoning on complex tasks |
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MMLU_PRO: 1.2 # Ensure broad domain understanding |
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smoothing_factor: 0.15 # Sharper blending for reasoning and factual tasks |
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gradient_clipping: 0.9 # Tighter control for precise parameter scaling |
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``` |
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