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--- |
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base_model: |
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- allknowingroger/QwenSlerp6-14B |
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- sometimesanotion/Qwen2.5-14B-Vimarckoso |
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- CultriX/Qwen2.5-14B-Emergedv3 |
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- qingy2019/Qwen2.5-Math-14B-Instruct |
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- CultriX/Qwen2.5-14B-Wernickev3 |
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- CultriX/SeQwence-14Bv1 |
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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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* [allknowingroger/QwenSlerp6-14B](https://huggingface.co/allknowingroger/QwenSlerp6-14B) |
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* [sometimesanotion/Qwen2.5-14B-Vimarckoso](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso) |
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* [CultriX/Qwen2.5-14B-Emergedv3](https://huggingface.co/CultriX/Qwen2.5-14B-Emergedv3) |
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* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct) |
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* [CultriX/Qwen2.5-14B-Wernickev3](https://huggingface.co/CultriX/Qwen2.5-14B-Wernickev3) |
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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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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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models: |
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- model: CultriX/SeQwence-14Bv1 |
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parameters: |
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weight: 0.28 # Strong base for multitask benchmarks. |
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density: 0.7 # Retains strong multitask performance. |
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- model: CultriX/Qwen2.5-14B-Wernickev3 |
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parameters: |
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weight: 0.22 # Balanced to support reasoning-heavy benchmarks like BBH. |
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density: 0.65 |
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- model: qingy2019/Qwen2.5-Math-14B-Instruct |
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parameters: |
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weight: 0.22 # Optimized for MATH and BBH. |
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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: 0.18 # Reintegration of the highest scorer for stability across benchmarks. |
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density: 0.65 # Focused on its exceptional multitask and reasoning strengths. |
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- model: CultriX/Qwen2.5-14B-Emergedv3 |
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parameters: |
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weight: 0.15 # Maintains multitask stability for GPQA and MMLU-PRO. |
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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: 0.1 # Late-layer contributor for MUSR and multi-step reasoning. |
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density: 0.6 |
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adaptive_merge_parameters: |
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task_weights: |
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IFEval: 1.4 # Balanced to maintain instruction-following benchmarks. |
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BBH: 1.4 # Ensures strong reasoning capabilities. |
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MATH: 1.5 # Prioritizes mathematical reasoning. |
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GPQA: 1.5 # Balanced for factual QA. |
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MUSR: 1.4 # Advanced multi-step reasoning. |
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MMLU-PRO: 1.5 # Emphasized for domain-specific multitask performance. |
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smoothing_factor: 0.12 # Smooth transitions between task-specific contributions. |
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gradient_clipping: |
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CultriX/SeQwence-14Bv1: 0.8 |
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CultriX/Qwen2.5-14B-Wernickev3: 0.8 |
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qingy2019/Qwen2.5-Math-14B-Instruct: 0.85 |
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allknowingroger/QwenSlerp6-14B: 0.8 # Balanced for high scoring model contributions. |
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CultriX/Qwen2.5-14B-Emergedv3: 0.75 |
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sometimesanotion/Qwen2.5-14B-Vimarckoso: 0.75 |
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tokenizer_source: CultriX/SeQwence-14Bv1 |
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``` |
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