RichardErkhov/grimjim_-_Llama-3.1-8B-Instruct-abliterated_via_adapter-gguf

Quantization made by Richard Erkhov.

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Llama-3.1-8B-Instruct-abliteratedviaadapter - GGUF

• —Model creator: https://huggingface.co/grimjim/
• —Original model: https://huggingface.co/grimjim/Llama-3.1-8B-Instruct-abliteratedviaadapter/

Original model description: --- base_model:

• —meta-llama/Meta-Llama-3.1-8B-Instruct
• —grimjim/Llama-3-Instruct-abliteration-LoRA-8B library_name: transformers tags:
• —mergekit
• —merge license: llama3.1 pipeline_tag: text-generation ---

Llama-3.1-8B-Instruct-abliteratedviaadapter

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

A LoRA was applied to "abliterate" refusals in meta-llama/Meta-Llama-3.1-8B-Instruct. The result appears to work despite the LoRA having been derived from Llama 3 instead of Llama 3.1, which implies that there is significant feature commonality between the 3 and 3.1 models.

The LoRA was extracted from failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 using meta-llama/Meta-Llama-3-8B-Instruct as a base.

Built with Llama.

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using meta-llama/Meta-Llama-3.1-8B-Instruct + grimjim/Llama-3-Instruct-abliteration-LoRA-8B as a base.

Configuration

The following YAML configuration was used to produce this model:

base_model: meta-llama/Meta-Llama-3.1-8B-Instruct+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
dtype: bfloat16
merge_method: task_arithmetic
parameters:
  normalize: false
slices:
- sources:
  - layer_range: [0, 32]
    model: meta-llama/Meta-Llama-3.1-8B-Instruct+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
    parameters:
      weight: 1.0