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README.md
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---
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base_model:
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- migtissera/Tess-v2.5-Phi-3-medium-128k-14B
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- jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
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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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![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
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# QuantFactory/Ph3della3-14B-GGUF
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This is quantized version of [allknowingroger/Ph3della3-14B](https://huggingface.co/allknowingroger/Ph3della3-14B) created using llama.cpp
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# Original Model Card
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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 [jpacifico/Chocolatine-14B-Instruct-DPO-v1.2](https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2) 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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* [migtissera/Tess-v2.5-Phi-3-medium-128k-14B](https://huggingface.co/migtissera/Tess-v2.5-Phi-3-medium-128k-14B)
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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: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
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parameters:
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weight: 0.5
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density: 0.8
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- model: migtissera/Tess-v2.5-Phi-3-medium-128k-14B
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parameters:
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weight: 0.5
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density: 0.8
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merge_method: della_linear
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base_model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
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parameters:
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epsilon: 0.05
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lambda: 1
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int8_mask: true
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dtype: bfloat16
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tokenzer_source: union
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```
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