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--- |
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base_model: |
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- Sao10K/14B-Qwen2.5-Kunou-v1 |
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- v000000/Qwen2.5-Lumen-14B |
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- v000000/Qwen2.5-14B-Gutenberg-1e-Delta |
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- huihui-ai/Qwen2.5-14B-Instruct-abliterated-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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--- |
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# 14b-Qwen2.5-Infermatic-Crea-v2 |
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#### This was made thanks to [infermatic.ai](https://infermatic.ai/) |
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This version is slightly more uncensored than the V1, both are good at describing things (like feelings, places, objects, situations and so on) |
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RP/Story writing |
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#### Probably will release soon new recommended settings for this model on the settings archive on [Infermatic.ai](https://infermatic.ai/) |
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pd. if you have refusals it can be fixed with good settings and prompts (or probably with a swipe) |
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### Any feedback can be shared on our [discord](https://discord.gg/infermatic-ai-1115287912385351730) server |
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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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--- |
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## Merge Details |
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### Merge Method |
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2) 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/14B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/14B-Qwen2.5-Kunou-v1) |
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* [v000000/Qwen2.5-Lumen-14B](https://huggingface.co/v000000/Qwen2.5-Lumen-14B) |
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* [v000000/Qwen2.5-14B-Gutenberg-1e-Delta](https://huggingface.co/v000000/Qwen2.5-14B-Gutenberg-1e-Delta) |
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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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name: Qwen2.5-14B-Infermatic-crea |
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merge_method: model_stock |
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base_model: huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2 |
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tokenizer_source: base |
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parameters: |
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int8_mask: true |
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normalize: true |
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rescale: false |
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models: |
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- model: v000000/Qwen2.5-Lumen-14B |
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- model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta |
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- model: Sao10K/14B-Qwen2.5-Kunou-v1 |
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dtype: bfloat16 |
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out_dtype: bfloat16 |
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``` |
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