library_name: transformers
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
tags:
- abliterated
- uncensored
- mergekit
Llama-3.1-70B-Instruct-lorablated
This is an uncensored version of Llama 3.1 70B Instruct created with abliteration (see this article to know more about it) using @grimjim's recipe.
More precisely, this is a LoRA-abliterated (lorablated) model:
- Extraction: We extract a LoRA adapter by comparing two models: a censored Llama 3 and an abliterated Llama 3
- Merge: We merge this new LoRA adapter using task arithmetic to a censored Llama 3.1 to abliterate it.
I adapted this recipe to Llama 3.1 70B using failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5 and optimized the LoRA rank.
The model is fully uncensored in my tests and maintains a high level of quality. A more rigorous evaluation is still needed to measure the impact of this process on benchmarks.
Special thanks to @grimjim for this technique (see his 8B model) and @FailSpy for his 70B abliterated model. Please follow them if you're interested in abliterated models.
In addition, thanks to brev.dev for providing me with compute!
⚡️ Quantization
This model was merged using the task arithmetic merge method using ./meta-llama/Meta-Llama-3.1-70B-Instruct + Llama-3-70B-Instruct-abliterated-LORA as a base.
🧩 Configuration
The following YAML configuration was used to produce this model:
base_model: meta-llama/Meta-Llama-3.1-70B-Instruct+Llama-3-70B-Instruct-abliterated-LORA
dtype: bfloat16
merge_method: task_arithmetic
parameters:
normalize: false
slices:
- sources:
- layer_range: [0, 80]
model: meta-llama/Meta-Llama-3.1-70B-Instruct+Llama-3-70B-Instruct-abliterated-LORA
parameters:
weight: 1.0
You can reproduce this model using the following commands:
# Setup
git clone https://github.com/arcee-ai/mergekit.git
cd mergekit && pip install -e .
pip install bitsandbytes
# Extraction
mergekit-extract-lora failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5 meta-llama/Meta-Llama-3-70B-Instruct Llama-3-70B-Instruct-abliterated-LORA --rank=64
# Merge using previous config
mergekit-yaml config.yaml Llama-3.1-70B-Instruct-lorablated --allow-crimes --lora-merge-cache=./cache