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--- |
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base_model: |
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- Qwen/Qwen2.5-14B-Instruct |
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- Qwen/Qwen2.5-14B |
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- CultriX/Qwen2.5-14B-Hyperionv3_r128 |
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- CultriX/Qwen2.5-14B_Virtuoso-small-v2-LoRA_r128 |
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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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license: apache-2.0 |
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--- |
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# Qwen2.5-DeepHyper |
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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 TIES](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) 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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* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) |
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* [CultriX/Qwen2.5-14B-Hyperionv3_r128](https://huggingface.co/CultriX/Qwen2.5-14B-Hyperionv3_r128) |
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* /root/.cache/huggingface/hub/models--CultriX--Qwen2.5-14B-DeepSeek_r128/snapshots/1bca847f92fced165076d9ac921a1e3ef01fcd7f/ |
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* [CultriX/Qwen2.5-14B_Virtuoso-small-v2-LoRA_r128](https://huggingface.co/CultriX/Qwen2.5-14B_Virtuoso-small-v2-LoRA_r128) |
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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: Qwen/Qwen2.5-14B |
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models: |
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# Each adapter was extracted (rank=128) from its respective finetuned model. |
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# Their weights are set lower than the full instruct model (which is now the base) |
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- model: CultriX/Qwen2.5-14B-Hyperionv3_r128 |
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parameters: |
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weight: 0.9 # Reduced weight relative to base |
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density: 0.9 |
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- model: CultriX/Qwen2.5-14B_Virtuoso-small-v2-LoRA_r128 |
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parameters: |
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weight: 1.0 |
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density: 1.0 |
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- model: Qwen/Qwen2.5-14B-Instruct |
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parameters: |
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weight: 0.75 |
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density: 0.75 |
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- model: /root/.cache/huggingface/hub/models--CultriX--Qwen2.5-14B-DeepSeek_r128/snapshots/1bca847f92fced165076d9ac921a1e3ef01fcd7f/ |
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parameters: |
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weight: 1.00 |
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density: 1.00 |
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# Merging method and overall parameters |
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merge_method: dare_ties # Ties corresponding weights across sources. |
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parameters: |
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weight: 1.0 # Overall scaling factor. |
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density: 1.0 # Overall density (typically left at 1.0). |
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normalize: true # Normalize each set of weights before merging. |
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int8_mask: true # Enable masking if using int8 quantized weights. |
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# Use the instruct tokenizer to ensure compatibility. |
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tokenizer_source: CultriX/Qwen2.5-14B_Virtuoso-small-v2-LoRA_r128 |
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# Data type for merged weights. |
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dtype: bfloat16 |
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``` |
