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URL: https://huggingface.co/grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter

⇱ grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter · Hugging Face


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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 22.95
IFEval (0-Shot) 48.70
BBH (3-Shot) 29.42
MATH Lvl 5 (4-Shot) 12.39
GPQA (0-shot) 8.50
MuSR (0-shot) 9.26
MMLU-PRO (5-shot) 29.46
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Evaluation results