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--- |
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base_model: |
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- Sao10K/72B-Qwen2.5-Kunou-v1 |
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- EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2 |
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- zetasepic/Qwen2.5-72B-Instruct-abliterated |
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- spow12/ChatWaifu_72B_v2.2 |
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- Steelskull/Q2.5-MS-Mistoria-72b-v2 |
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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: other |
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license_name: qwen |
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--- |
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After some success with my merging my favorite Llama 3 models, I decided to try my hand on some Qwen 2.5 models I have tried and enjoyed. I never quite got fully onto the Qwen bandwagon as I always preferred LLaMa, but a lot of folks swear by Qwen. In my limited experience with Qwen I have enjoyed these models and merged something decent I think. For this merge I went for an aggressive parameter Della method. |
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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 merge method using [zetasepic/Qwen2.5-72B-Instruct-abliterated](https://huggingface.co/zetasepic/Qwen2.5-72B-Instruct-abliterated) 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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* [Sao10K/72B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/72B-Qwen2.5-Kunou-v1) |
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* [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2) |
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* [spow12/ChatWaifu_72B_v2.2](https://huggingface.co/spow12/ChatWaifu_72B_v2.2) |
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* [Steelskull/Q2.5-MS-Mistoria-72b-v2](https://huggingface.co/Steelskull/Q2.5-MS-Mistoria-72b-v2) |
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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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models: |
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- model: Sao10K/72B-Qwen2.5-Kunou-v1 |
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parameters: |
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weight: 0.25 |
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- model: Steelskull/Q2.5-MS-Mistoria-72b-v2 |
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parameters: |
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weight: 0.25 |
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- model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2 |
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parameters: |
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weight: 0.25 |
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- model: spow12/ChatWaifu_72B_v2.2 |
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parameters: |
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weight: 0.25 |
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merge_method: della |
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base_model: zetasepic/Qwen2.5-72B-Instruct-abliterated |
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parameters: |
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density: 0.7 |
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epsilon: 0.2 |
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lambda: 1.1 |
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window_size: 0.14 |
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rescale: 1 |
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dtype: bfloat16 |
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tokenizer_source: base |
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``` |
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