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--- |
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license: cc-by-nc-nd-4.0 |
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tags: |
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- not-for-all-audiences |
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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 [Qwen/QwQ-32B-Preview](https://huggingface.co/Qwen/QwQ-32B-Preview) 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/QwQ-32B-Preview-abliterated](https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated) |
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* [huihui-ai/Qwen2.5-32B-Instruct-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-32B-Instruct-abliterated) |
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* [ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3) |
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* [gctian/qwen2.5-32B-roleplay-zh](https://huggingface.co/gctian/qwen2.5-32B-roleplay-zh) |
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* [jpacifico/Chocolatine-32B-Instruct-DPO-v1.2](https://huggingface.co/jpacifico/Chocolatine-32B-Instruct-DPO-v1.2) |
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* [nbeerbower/Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B) |
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* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2) |
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* [crestf411/Q2.5-32B-Slush](https://huggingface.co/crestf411/Q2.5-32B-Slush) |
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* [AiCloser/Qwen2.5-32B-AGI](https://huggingface.co/AiCloser/Qwen2.5-32B-AGI) |
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* [AXCXEPT/EZO-Qwen2.5-32B-Instruct](https://huggingface.co/AXCXEPT/EZO-Qwen2.5-32B-Instruct) |
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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: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 |
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parameters: |
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weight: 1.0 |
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density: 0.85 |
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- model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B |
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parameters: |
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weight: 0.30 |
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density: 0.80 |
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- model: crestf411/Q2.5-32B-Slush |
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parameters: |
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weight: 0.25 |
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density: 0.80 |
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- model: huihui-ai/Qwen2.5-32B-Instruct-abliterated |
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parameters: |
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weight: 0.23 |
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density: 0.78 |
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- model: gctian/qwen2.5-32B-roleplay-zh |
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parameters: |
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weight: 0.22 |
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density: 0.75 |
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- model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3 |
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parameters: |
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weight: 0.20 |
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density: 0.73 |
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- model: jpacifico/Chocolatine-32B-Instruct-DPO-v1.2 |
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parameters: |
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weight: 0.19 |
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density: 0.72 |
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- model: AXCXEPT/EZO-Qwen2.5-32B-Instruct |
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parameters: |
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weight: 0.18 |
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density: 0.72 |
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- model: AiCloser/Qwen2.5-32B-AGI |
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parameters: |
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weight: 0.15 |
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density: 0.68 |
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- model: huihui-ai/QwQ-32B-Preview-abliterated |
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parameters: |
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weight: 0.14 |
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density: 0.68 |
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merge_method: dare_ties |
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base_model: Qwen/QwQ-32B-Preview |
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parameters: |
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density: 0.84 |
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epsilon: 0.07 |
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lambda: 1.24 |
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dtype: bfloat16 |
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tokenizer_source: union |
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``` |
