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Author:
Pratinav Seth
License:
# Lexsi Labs Source Available License (LSAL), Version 1.2 (SafeTune)
## Preamble
This Source Available License governs use of the software known as **SafeTune**, toge...
Summary:
SafeTune: a unified, faithful library for auditing and repairing safety drift in fine-tuned LLMs — train-time (harden), weight-space (recover, unlearn), inference-time (steer) interventions plus diagnosis (interpret) and evaluation, for the Hugging Face ecosystem.
Latest version:
0.1.9
Required dependencies:
accelerate
|
bitsandbytes
|
click
|
datasets
|
evaluate
|
huggingface-hub
|
immutabledict
|
langdetect
|
lm-eval
|
nltk
|
numpy
|
nvidia-ml-py
|
pandas
|
peft
|
psutil
|
pyyaml
|
requests
|
rich
|
rouge-score
|
sacrebleu
|
scikit-learn
|
sentencepiece
|
tensorboard
|
tiktoken
|
torch
|
tqdm
|
transformers
|
trl
|
typer
|
wandb
Optional dependencies:
bert-score
|
black
|
codebleu
|
flake8
|
gpustat
|
httpx
|
hypothesis
|
isort
|
matplotlib
|
mike
|
mkdocs
|
mkdocs-material
|
mkdocstrings
|
mypy
|
nvitop
|
pre-commit
|
pygments
|
pymdown-extensions
|
pytest
|
pytest-cov
|
pytest-mock
|
pytest-timeout
|
pytest-xdist
|
seaborn
|
sentence-transformers
|
torchvision
|
transformer-lens
|
unsloth
|
vllm
|
vllm-lens
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