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--- |
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base_model: |
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- hotmailuser/QwenSlerp2-14B |
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- sometimesanotion/Lamarck-14B-v0.6 |
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- CultriX/SeQwence-14B-EvolMerge |
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- qingy2024/Fusion4-14B-Instruct |
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- CultriX/Qwen2.5-14B-Hyperionv3 |
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- CultriX/Qwen2.5-14B-Brocav7 |
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- CultriX/Qwen2.5-14B-Brocav3 |
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- djuna/Q2.5-Veltha-14B-0.5 |
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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 [djuna/Q2.5-Veltha-14B-0.5](https://huggingface.co/djuna/Q2.5-Veltha-14B-0.5) 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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* [hotmailuser/QwenSlerp2-14B](https://huggingface.co/hotmailuser/QwenSlerp2-14B) |
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* [sometimesanotion/Lamarck-14B-v0.6](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6) |
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* [CultriX/SeQwence-14B-EvolMerge](https://huggingface.co/CultriX/SeQwence-14B-EvolMerge) |
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* [qingy2024/Fusion4-14B-Instruct](https://huggingface.co/qingy2024/Fusion4-14B-Instruct) |
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* [CultriX/Qwen2.5-14B-Hyperionv3](https://huggingface.co/CultriX/Qwen2.5-14B-Hyperionv3) |
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* [CultriX/Qwen2.5-14B-Brocav7](https://huggingface.co/CultriX/Qwen2.5-14B-Brocav7) |
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* [CultriX/Qwen2.5-14B-Brocav3](https://huggingface.co/CultriX/Qwen2.5-14B-Brocav3) |
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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: dare_ties |
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base_model: djuna/Q2.5-Veltha-14B-0.5 |
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output_dtype: bfloat16 |
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data_type: bfloat16 |
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parameters: |
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epsilon: 0.0085 # Balanced between precision and flexibility. |
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lambda: 2.3 # Adjusted to emphasize impactful parameters without overfitting. |
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normalize: true # Ensures parameter normalization for stable integration. |
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rescale: true # Dynamically rescales parameters for optimal alignment. |
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int8_mask: true # Enables memory-efficient fine-tuning when applicable. |
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adaptive_merge_parameters: |
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task_weights: # Combined priority based on all configurations. |
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tinyArc: 1.7 |
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tinyHellaswag: 1.8 |
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tinyMMLU: 2.0 |
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tinyTruthfulQA: 2.8 |
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tinyTruthfulQA_mc1: 2.4 |
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tinyWinogrande: 2.1 |
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IFEval: 3.2 |
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BBH: 2.9 |
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MATH: 3.4 |
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GPQA: 2.6 |
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MUSR: 2.7 |
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MMLU-PRO: 2.5 |
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smoothing_factor: 0.025 # Precise parameter blending. |
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gradient_clipping: # Hybrid gradient clipping strategy. |
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djuna/Q2.5-Veltha-14B-0.5: 0.89 |
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CultriX/Qwen2.5-14B-Brocav3: 0.88 |
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CultriX/Qwen2.5-14B-Hyperionv3: 0.87 |
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CultriX/Qwen2.5-14B-Wernickev3: 0.88 |
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hotmailuser/QwenSlerp2-14B: 0.90 |
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allknowingroger/QwenSlerp6-14B: 0.86 |
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sometimesanotion/Lamarck-14B-v0.6: 0.88 |
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qingy2024/Fusion4-14B-Instruct: 0.91 |
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CultriX/Qwen2.5-14B-Brocav7: 0.88 |
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CultriX/SeQwence-14B-EvolMerge: 0.87 |
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models: |
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- model: djuna/Q2.5-Veltha-14B-0.5 |
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parameters: |
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weight: 0.28 # Backbone with strong reasoning capabilities. |
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density: 0.78 |
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- model: CultriX/Qwen2.5-14B-Brocav3 |
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parameters: |
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weight: 0.25 # High-performance reasoning and multitask contributions. |
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density: 0.76 |
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- model: CultriX/Qwen2.5-14B-Hyperionv3 |
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parameters: |
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weight: 0.18 # Balanced generalist for broad coverage. |
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density: 0.75 |
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- model: hotmailuser/QwenSlerp2-14B |
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parameters: |
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weight: 0.13 # Specialist in instruction-following and QA. |
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density: 0.72 |
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- model: sometimesanotion/Lamarck-14B-v0.6 |
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parameters: |
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weight: 0.10 # Multi-step reasoning and task-specific expert. |
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density: 0.65 |
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- model: qingy2024/Fusion4-14B-Instruct |
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parameters: |
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weight: 0.08 # Specialist in mathematical reasoning. |
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density: 0.78 |
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- model: CultriX/Qwen2.5-14B-Brocav7 |
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parameters: |
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weight: 0.08 # Focus on specific reasoning tasks. |
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density: 0.77 |
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- model: CultriX/SeQwence-14B-EvolMerge |
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parameters: |
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weight: 0.07 # Generalist for multitask integration. |
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density: 0.68 |
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``` |
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