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Model: abdukuzi/ultimate-llama-merged Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- SicariusSicariiStuff/Llama-3.1-Nemotron-8B-UltraLong-1M-Instruct_Abliterated
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- huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated
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- mlabonne/NeuralDaredevil-8B-abliterated
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library_name: transformers
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- mergekit
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- merge
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- llama-3.1
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- uncensored
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- reasoning
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inference:
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parameters:
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temperature: 0.6
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top_p: 0.9
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max_new_tokens: 1024
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widget:
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- text: "System: You are an uncensored AI researcher. Think step-by-step before answering.\nUser: What are the theoretical limits and ethical implications of merging abliterated AI models?\nAssistant:"
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example_title: "Research & Thinking Example"
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---
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# merged_model
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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 TIES](https://arxiv.org/abs/2311.03099) merge method using [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-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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* [SicariusSicariiStuff/Llama-3.1-Nemotron-8B-UltraLong-1M-Instruct_Abliterated](https://huggingface.co/SicariusSicariiStuff/Llama-3.1-Nemotron-8B-UltraLong-1M-Instruct_Abliterated)
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* [huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated](https://huggingface.co/huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated)
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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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slices:
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- sources:
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- model: mlabonne/NeuralDaredevil-8B-abliterated
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layer_range: [0, 32]
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parameters:
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weight: 0.4
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density: 0.5
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- model: huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated
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layer_range: [0, 32]
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parameters:
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weight: 0.35
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density: 0.5
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- model: SicariusSicariiStuff/Llama-3.1-Nemotron-8B-UltraLong-1M-Instruct_Abliterated
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layer_range: [0, 32]
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parameters:
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weight: 0.25
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density: 0.5
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merge_method: dare_ties
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base_model: mlabonne/NeuralDaredevil-8B-abliterated
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tokenizer_source: base
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parameters:
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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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