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--- |
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base_model: |
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- CultriX/Qwen2.5-14B-Wernickev3 |
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- djuna/Q2.5-Veltha-14B-0.5 |
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- CultriX/Qwenfinity-2.5-14B |
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- sometimesanotion/Lamarck-14B-v0.6 |
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- CultriX/Qwen2.5-14B-Emerged |
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- CultriX/Qwen2.5-14B-Broca |
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- qingy2024/Fusion4-14B-Instruct |
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- CultriX/SeQwence-14B-EvolMerge |
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- allknowingroger/QwenSlerp5-14B |
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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 della_linear merge method using [CultriX/Qwen2.5-14B-Wernickev3](https://huggingface.co/CultriX/Qwen2.5-14B-Wernickev3) 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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* [djuna/Q2.5-Veltha-14B-0.5](https://huggingface.co/djuna/Q2.5-Veltha-14B-0.5) |
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* [CultriX/Qwenfinity-2.5-14B](https://huggingface.co/CultriX/Qwenfinity-2.5-14B) |
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* [sometimesanotion/Lamarck-14B-v0.6](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6) |
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* [CultriX/Qwen2.5-14B-Emerged](https://huggingface.co/CultriX/Qwen2.5-14B-Emerged) |
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* [CultriX/Qwen2.5-14B-Broca](https://huggingface.co/CultriX/Qwen2.5-14B-Broca) |
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* [qingy2024/Fusion4-14B-Instruct](https://huggingface.co/qingy2024/Fusion4-14B-Instruct) |
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* [CultriX/SeQwence-14B-EvolMerge](https://huggingface.co/CultriX/SeQwence-14B-EvolMerge) |
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* [allknowingroger/QwenSlerp5-14B](https://huggingface.co/allknowingroger/QwenSlerp5-14B) |
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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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merge_method: della_linear |
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base_model: CultriX/Qwen2.5-14B-Wernickev3 |
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dtype: bfloat16 |
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out_dtype: bfloat16 |
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parameters: |
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epsilon: 0.009 # Further reduced for ultra-fine parameter scaling. |
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lambda: 1.6 # Increased to emphasize significant model contributions. |
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normalize: true # Balances the parameter integration for stability. |
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rescale: true # Enabled to align parameter scales across models. |
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int8_mask: false # Disabled to allow full-precision computations for enhanced accuracy. |
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density: 0.90 # Balanced density for optimal generalization and performance. |
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adaptive_merge_parameters: |
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task_weights: |
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tinyArc: 1.6 # Prioritizes logical reasoning improvements. |
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tinyHellaswag: 1.5 # Strengthened contextual understanding and consistency. |
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tinyMMLU: 1.8 # Enhanced domain knowledge for multitask benchmarks. |
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tinyTruthfulQA: 1.9 # Maximized for accurate factual reasoning and QA. |
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tinyTruthfulQA_mc1: 1.75 # Increased focus for multiple-choice reasoning. |
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tinyWinogrande: 1.75 # Advanced reasoning and contextual prediction improvement. |
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IFEval: 2.15 # Enhanced instruction-following tasks boosted by multitask contributors. |
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BBH: 1.95 # Further improved for complex reasoning tasks. |
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MATH: 2.45 # Highest priority, focusing on mathematical excellence. |
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GPQA: 2.1 # Boosted graduate-level QA capabilities. |
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MUSR: 1.9 # Nuanced multi-step reasoning strengthened further. |
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MMLU-PRO: 1.9 # Maximized domain multitask performance. |
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smoothing_factor: 0.035 # Further reduced for precise task-specific blending. |
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gradient_clipping: |
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CultriX/Qwen2.5-14B-Wernickev3: 0.88 # Increased for enhanced stability. |
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CultriX/Qwenfinity-2.5-14B: 0.85 # Adjusted for consistent multitask integration. |
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djuna/Q2.5-Veltha-14B-0.5: 0.91 # Maintained advanced reasoning contributions. |
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CultriX/SeQwence-14B-EvolMerge: 0.88 # Generalist multitask support remains stable. |
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qingy2024/Fusion4-14B-Instruct: 0.93 # Mathematically focused tasks maximized. |
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CultriX/Qwen2.5-14B-Emerged: 0.88 # Increased for logical reasoning enhancements. |
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sometimesanotion/Lamarck-14B-v0.6: 0.89 # Balanced multi-step reasoning contributions. |
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allknowingroger/QwenSlerp5-14B: 0.87 # Contextual and logical reasoning integration refined. |
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models: |
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- model: CultriX/Qwen2.5-14B-Wernickev3 |
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parameters: |
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weight: 0.30 # Core backbone for multitask reasoning. |
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density: 0.75 # Further increased to preserve critical reasoning parameters. |
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- model: CultriX/Qwenfinity-2.5-14B |
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parameters: |
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weight: 0.25 # Comprehensive multitask performer. |
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density: 0.65 |
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- model: djuna/Q2.5-Veltha-14B-0.5 |
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parameters: |
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weight: 0.25 # Advanced reasoning support for GPQA and MUSR. |
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density: 0.74 |
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- model: CultriX/SeQwence-14B-EvolMerge |
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parameters: |
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weight: 0.20 # Enhanced contributions to BBH and MUSR. |
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density: 0.55 |
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- model: qingy2024/Fusion4-14B-Instruct |
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parameters: |
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weight: 0.19 # Mathematical reasoning priority. |
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density: 0.77 |
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- model: CultriX/Qwen2.5-14B-Emerged |
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parameters: |
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weight: 0.21 # Maintains overall task performance with balanced strengths. |
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density: 0.72 # Increased for better integration. |
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- model: CultriX/Qwen2.5-14B-Broca |
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parameters: |
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weight: 0.16 # Logical reasoning and factual QA enhancements. |
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density: 0.68 # Increased to better support Broca's specialized tasks. |
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- model: sometimesanotion/Lamarck-14B-v0.6 |
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parameters: |
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weight: 0.15 # Multi-step reasoning tasks contributor. |
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density: 0.63 # Slight increase for better integration. |
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- model: allknowingroger/QwenSlerp5-14B |
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parameters: |
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weight: 0.16 # Contextual reasoning improvements. |
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density: 0.64 # Increased for enhanced performance. |
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``` |
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