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
QuantFactory/Llama-3.1-8B-Instruct-abliterated_via_adapter-GGUF
This is quantized version of grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter created using llama.cpp
Original Model Card
Llama-3.1-8B-Instruct-abliterated_via_adapter
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