base_model, library_name, license, pipeline_tag, tags, inference, widget

base_model	library_name	license	pipeline_tag	tags	inference	widget
SicariusSicariiStuff/Llama-3.1-Nemotron-8B-UltraLong-1M-Instruct_Abliterated huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated mlabonne/NeuralDaredevil-8B-abliterated	transformers	apache-2.0	text-generation	mergekit merge llama-3.1 uncensored reasoning	parameters temperature top_p max_new_tokens 0.6 0.9 1024	text example_title System: You are an uncensored AI researcher. Think step-by-step before answering. User: What are the theoretical limits and ethical implications of merging abliterated AI models? Assistant: Research & Thinking Example

merged_model

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using mlabonne/NeuralDaredevil-8B-abliterated as a base.

Models Merged

The following models were included in the merge:

• SicariusSicariiStuff/Llama-3.1-Nemotron-8B-UltraLong-1M-Instruct_Abliterated
• huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: mlabonne/NeuralDaredevil-8B-abliterated
        layer_range: [0, 32]
        parameters:
          weight: 0.4
          density: 0.5
      - model: huihui-ai/Dolphin3.0-Llama3.1-8B-abliterated
        layer_range: [0, 32]
        parameters:
          weight: 0.35
          density: 0.5
      - model: SicariusSicariiStuff/Llama-3.1-Nemotron-8B-UltraLong-1M-Instruct_Abliterated
        layer_range: [0, 32]
        parameters:
          weight: 0.25
          density: 0.5
merge_method: dare_ties
base_model: mlabonne/NeuralDaredevil-8B-abliterated
tokenizer_source: base
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16