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--- |
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base_model: |
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- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2 |
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- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 |
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- v000000/Qwen2.5-Lumen-14B |
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- qwen/Qwen2.5-14b |
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- arcee-ai/SuperNova-Medius |
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- allura-org/TQ2.5-14B-Aletheia-v1 |
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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 [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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* [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2) |
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* [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2) |
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* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B) |
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* [arcee-ai/SuperNova-Medius](https://huggingface.co/arcee-ai/SuperNova-Medius) |
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* [allura-org/TQ2.5-14B-Aletheia-v1](https://huggingface.co/allura-org/TQ2.5-14B-Aletheia-v1) |
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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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dtype: float32 |
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out_dtype: bfloat16 |
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parameters: |
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epsilon: 0.04 |
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lambda: 1.05 |
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normalize: true |
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base_model: qwen/Qwen2.5-14b |
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tokenizer_source: arcee-ai/SuperNova-Medius |
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models: |
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- model: arcee-ai/SuperNova-Medius |
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parameters: |
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weight: 10 |
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density: 1 |
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- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2 |
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parameters: |
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weight: 7 |
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density: 0.5 |
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- model: v000000/Qwen2.5-Lumen-14B |
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parameters: |
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weight: 7 |
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density: 0.4 |
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- model: allura-org/TQ2.5-14B-Aletheia-v1 |
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parameters: |
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weight: 8 |
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density: 0.4 |
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- model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2 |
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parameters: |
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weight: 8 |
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density: 0.45 |
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``` |
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