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README.md ADDED
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+ ---
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+ base_model:
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+ - nbeerbower/phi3.5-gutenberg-4B
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+ - microsoft/Phi-3.5-mini-instruct
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+ - ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
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+ - bunnycore/Phi-3.5-Mini-Hyper
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+ - bunnycore/Phi-3.5-Mini-Hyper
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+ - bunnycore/Phi-3.1-EvolKit-lora
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+ - bunnycore/Phi-3.5-Mini-Sonet-RP
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+ - bunnycore/Phi-3.5-mini-TitanFusion-0.1
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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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+ ---
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+ # merge
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+
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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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+
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+ This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [nbeerbower/phi3.5-gutenberg-4B](https://huggingface.co/nbeerbower/phi3.5-gutenberg-4B)
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+ * [ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1)
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+ * [bunnycore/Phi-3.5-Mini-Hyper](https://huggingface.co/bunnycore/Phi-3.5-Mini-Hyper)
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+ * [bunnycore/Phi-3.5-Mini-Hyper](https://huggingface.co/bunnycore/Phi-3.5-Mini-Hyper) + [bunnycore/Phi-3.1-EvolKit-lora](https://huggingface.co/bunnycore/Phi-3.1-EvolKit-lora)
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+ * [bunnycore/Phi-3.5-Mini-Sonet-RP](https://huggingface.co/bunnycore/Phi-3.5-Mini-Sonet-RP)
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+ * [bunnycore/Phi-3.5-mini-TitanFusion-0.1](https://huggingface.co/bunnycore/Phi-3.5-mini-TitanFusion-0.1)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
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+ parameters:
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+ weight: 1
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+ - model: nbeerbower/phi3.5-gutenberg-4B
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+ parameters:
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+ weight: 1
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+ - model: bunnycore/Phi-3.5-mini-TitanFusion-0.1
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+ parameters:
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+ weight: 1
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+ - model: bunnycore/Phi-3.5-Mini-Sonet-RP
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+ parameters:
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+ weight: 1
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+ - model: bunnycore/Phi-3.5-Mini-Hyper
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+ parameters:
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+ weight: 1
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+ - model: bunnycore/Phi-3.5-Mini-Hyper+bunnycore/Phi-3.1-EvolKit-lora
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+ parameters:
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+ weight: 1
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+
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+ merge_method: ties
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+ base_model: microsoft/Phi-3.5-mini-instruct
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+ parameters:
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+ density: 1
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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+
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+ ```
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